Tableau Data Analyst Jobs

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senior data software engineer

Data Software Engineering

Databricks, Python, Microsoft Azure

40 hrs/week

12+ months

Poland

We are seeking a remote Senior Data Software Engineer to join our team.

The successful candidate will be responsible for building enterprise data platforms and data products. The individual will work with a team of developers and stakeholders to design and implement high-performance solutions that meet business needs.

responsibilities

Design and develop enterprise data platforms and data products
Work with stakeholders to identify business needs and requirements
Collaborate with other developers and data engineers to design and implement solutions
Implement event-driven architecture to support real-time data processing
Develop and maintain data pipelines and ETL processes
Ensure that the data platform meets performance and scalability requirements
Monitor the performance of data platforms and address issues as they arise
Work with data scientists and analysts to deliver data-driven insights
Stay up-to-date with emerging technologies and industry trends
Communicate effectively with stakeholders and team members

requirements

At least 3 years of experience in building data platforms
Demonstrated experience in implementing big data high-performance solutions
Strong primary skills in data and experience with Databricks and Python
Experience with Microsoft Azure and its big data services
Knowledge and preferably experience with event-driven architecture
Experience with development and deployment of data products
Excellent problem-solving skills and ability to work well in a team environment
Ability to work independently, prioritize tasks and meet deadlines
Strong communication skills in English, both written and verbal (B2+ level)

nice to have

Experience with Apache Spark
Experience with Kubernetes and Docker
Experience with SQL and NoSQL databases
Experience with data visualization tools such as Tableau

senior data software engineer

Data Software Engineering

Apache Spark, Microsoft Azure, Python

40 hrs/week

12+ months

Poland

We are seeking a remote Senior Data Software Engineer to join our team in building a data integration solution.

We are seeking a Senior Data Software Engineer to join our team in building a data integration solution. The Senior Data Software Engineer will take responsibility for the development and execution of the data engineering strategy, working closely with data scientists and other stakeholders to ensure that data is transformed into valuable insights. The ideal candidate will have a strong background in data engineering, machine learning, and software development.

responsibilities

Collaborate with data scientists to build and deploy machine learning models in production
Design and develop data pipelines, data processing systems, and APIs for data integration and analysis
Optimize data pipelines for performance and scalability
Ensure data quality, accuracy, and consistency through data validation and testing
Develop and implement MLOps processes to monitor and maintain machine learning models
Work with stakeholders to understand data requirements and provide solutions to meet their needs
Design and implement data security and privacy measures to protect sensitive data
Stay up-to-date with emerging trends and technologies in data engineering and machine learning
Provide technical guidance and mentorship to junior team members

requirements

Minimum 3+ years of experience in data engineering or software development roles
Proficiency in Apache Spark, Microsoft Azure, and Databricks for data processing and management
Expertise in Python programming language and associated data science libraries such as Pandas and NumPy
Experience in building forecasting models, statistical models, and machine learning models
Strong knowledge of MLOps and deploying machine learning models in production
Experience with Git for version control and team collaboration
Good understanding of Azure concepts such as clouds, regions, and compute
Ability to work in a fast-paced environment and deliver results under tight deadlines
Excellent English communication skills, both written and verbal, for effective global collaboration (B2+)

nice to have

Experience with SQL and relational databases for data management
Familiarity with cloud-based data warehousing solutions such as Azure Data Lake Storage (ADLS)
Knowledge of other machine learning tools and platforms such as TensorFlow and PyTorch
Experience with data visualization tools such as Tableau and Power BI

senior data software engineer

Data Software Engineering

Apache Spark, Microsoft Azure, Python

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer with ML/Data Science experience.

Join our remote team as a Senior Data Software Engineer with ML/Data Science experience within a global leader in providing cutting-edge technology solutions. We are looking for a hands-on and experienced data software engineer who has a deep understanding of Apache Spark, Microsoft Azure, and Python. The successful candidate will be responsible for developing and implementing forecasting models, as well as designing and maintaining data pipelines. The role requires a strong understanding of data analytics and machine learning principles, and the ability to work collaboratively with cross-functional teams.

responsibilities

Designing and implementing forecasting models using machine learning algorithms
Developing and maintaining data pipelines for efficient data processing and analysis
Collaborating with cross-functional teams to identify business requirements and translate them into technical solutions
Creating and maintaining technical documentation for all data engineering projects
Working with data scientists to ensure that models are production-ready
Ensuring that all data engineering solutions are of high quality, reliable, and scalable
Troubleshooting and resolving data-related issues in a timely and efficient manner
Maintaining up-to-date knowledge of emerging data engineering technologies and trends
Participating in code reviews to ensure code quality and adherence to standards

requirements

At least 3+ years of experience in Data Software Engineering with a focus on ML/Data Science
Expertise in Apache Spark, Microsoft Azure, and Python
Experience in forecasting models development and implementation
Deep understanding of data analytics and machine learning principles
Good knowledge of Git for version control
Familiarity with Databricks and MLOps for efficient model deployment and management
Experience in developing and maintaining data pipelines
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Knowledge of Panda for data manipulation and analysis
Experience with SQL and relational tables
Understanding of statistical models and their practical applications

senior data software engineer

Data Software Engineering

Python, Amazon Web Services, Databricks

40 hrs/week

12+ months

Poland

Are you an experienced Data Software Engineer looking for a new challenge? Join our team as a Senior Data Software Engineer and play a pivotal role in supporting Data Science teams, building efficient data solutions, and contributing to cutting-edge analytics projects.

Proficiency in Python and AWS is key to success in this role.

responsibilities

Collaborate closely with Data Science teams, providing essential support and mentorship as they work on analytical projects
Take charge of building and maintaining tables, responding to incoming support tickets, and offering guidance through minimal ticket interactions
Utilize your expertise to construct datamarts and separate data models that cater to specific analytics needs
Engage in sprint-based development, ensuring timely delivery of data solutions aligned with Data Scientists' requirements
Handle ad-hoc data requests and provide on-call support as necessary
Contribute to the development of data ingestion pipelines, enhancing the efficiency of data processing workflows
Publish comprehensive documentation to aid users in effectively utilizing the data solutions you provide
Collaborate effectively within the team and demonstrate exceptional communication and documentation skills
Embrace constructive feedback and exhibit a proactive attitude towards continuous learning and adapting to new technologies

requirements

A minimum of 3 years of relevant experience in Data Software Engineering, showcasing a strong track record of successful project delivery
Proficiency in Python, enabling you to develop robust and efficient data solutions
In-depth knowledge of Amazon Web Services, utilizing cloud resources to optimize data processing and storage
Experience with Apache Airflow, contributing to streamlined workflow orchestration
Familiarity with Apache Spark, enhancing your ability to work with large-scale data processing
Solid understanding of ETL processes, ensuring efficient data movement and transformation
Proficiency in CI/CD practices, facilitating smooth and automated software delivery
Strong command of SQL, enabling you to manipulate and query complex datasets
Experience working with REST APIs, facilitating seamless data integration with other systems
Fluent English communication skills at a B2+ level, ensuring effective collaboration within an international team

nice to have

Familiarity with DataBricks and Spark, further enhancing your ability to work with big data
Experience with Redshift, contributing to optimized data warehousing solutions

lead data engineer

Python.Data

Pandas, Python, SQL

40 hrs/week

12+ months

India

We are looking for a skilled remote Lead Data Engineer to join our team and help build data pipelines for our projects.

You will be responsible for managing and developing data pipelines, as well as overseeing a team of Data Engineers. This role requires extensive knowledge of Python and SQL, with a focus on data manipulation using Pandas.

responsibilities

Collaborate with other teams, including Data Scientists and Data Analysts, to understand business requirements and build data pipelines accordingly
Design and develop scalable data pipelines using Python and SQL
Oversee a team of Data Engineers, providing guidance and support as needed
Ensure the quality of data pipelines, including data accuracy, reliability, and efficiency
Create and maintain technical documentation for data pipelines and related systems
Implement and maintain security and compliance measures for data pipelines
Stay up-to-date with the latest trends and technologies in data engineering

requirements

Minimum of 5 years of experience in building data pipelines, with direct experience in using SQL
Proficient in Python, with specific experience in data manipulation using Pandas
Strong leadership skills, with experience in leading and managing a team (1+ year experience)
Excellent communication skills, with the ability to collaborate with other teams effectively
Fluent in English, with an Upper-Intermediate level of proficiency

senior data software engineer

Data Software Engineering

Apache Spark, Microsoft Azure, Python

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer.

Join our remote team as a Senior Data Software Engineer within a globally recognized company that specializes in delivering innovative technology solutions. We are currently seeking a hands-on technical expert to collaborate closely with development peers, product leadership, and other technical staff to create innovative data integration solutions. The successful candidate will have the opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment.

responsibilities

Designing and implementing data integration solutions that meet business requirements and are scalable, efficient, and reliable
Collaborating with data scientists to transform their models into production-ready solutions
Developing and implementing data integration processes and workflows using Apache Spark and Databricks
Working closely with cross-functional teams to identify and resolve data-related issues and ensure data quality
Implementing MLOps processes to ensure that machine learning models are deployed and maintained in production environments
Designing and implementing data architecture and storage solutions in Microsoft Azure
Designing and implementing data migration solutions to migrate data from on-premise systems to Microsoft Azure
Performing code reviews, ensuring code quality and adherence to standards
Mentoring junior team members, helping them enhance their skills and grow their careers
Actively participating in architectural and technical discussions

requirements

At least 3 years of experience in software engineering with a focus on data integration solutions
Experience with Apache Spark for processing large datasets, and Databricks for data integration and machine learning workflows
Expertise in Microsoft Azure for cloud-based infrastructure and application management
Deep understanding of Python programming language and knowledge of forecasting models and statistical models
Experience with MLOps for taking data science models and making them production ready
Familiarity with Git for version control
Excellent knowledge of SQL and relational tables
Ability to design and develop scalable and efficient data integration pipelines using Python, Spark, and other relevant technologies
Experience with developing machine learning models and utilizing ML tools and libraries
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with Panda library for data manipulation and analysis is a plus
Knowledge of cloud computing concepts such as regions and ADLS
Experience with other Microsoft Azure services such as Azure Data Factory and Azure Stream Analytics

senior data engineer

Data Software Engineering

Python, Amazon Web Services, Databricks

40 hrs/week

12+ months

Poland

We are searching for a skilled Senior Data Engineer to join our team.

If you are proficient in Python and AWS, and you have experience with migrating GCP BigQuery and DataFlow pipelines into Databricks hosted on AWS, we invite you to apply for this exciting opportunity.

responsibilities

Collaborate with the team on the migration of GCP BigQuery and DataFlow pipelines to Databricks hosted on AWS, ensuring a seamless transition
Design, develop, and optimize data pipelines using Python, Spark, and Databricks to meet business requirements and enhance data processing efficiency
Work closely with cross-functional teams to understand data requirements and contribute to the architecture and implementation of data solutions
Perform data modeling and transformation tasks to prepare data for analysis and reporting
Collaborate on code reviews, ensuring the quality and reliability of data pipelines
Troubleshoot and resolve issues related to data pipelines, ensuring smooth and consistent data flow

requirements

A minimum of 3 years of relevant experience as a Data Software Engineer, demonstrating your proficiency in developing and optimizing data solutions
Strong familiarity with AWS, leveraging its resources for hosting and managing data solutions
Proficiency in Python, utilizing its capabilities to build robust and efficient data pipelines
Experience with Apache Spark, enabling you to work with large-scale data processing and analysis
Expertise in Databricks, particularly in the context of migrating pipelines and working on AWS-hosted platforms
Solid command of SQL, allowing you to perform data transformations and analysis effectively
Fluent English communication skills at a B2+ level, facilitating effective collaboration with a diverse team

nice to have

Familiarity with GCP, particularly experience with BigQuery and DataFlow
Knowledge of GCP BigQuery and DataFlow, aiding in the migration process and facilitating collaboration across platforms

senior data engineer

Data Integration

BigQuery Datasets, Cloud Composer, Google Cloud Platform

40 hrs/week

12+ months

Poland

Currently, we are looking for a remote Senior Data Engineer to join our global team

Currently, we are looking for a remote Senior Data Engineer to join our global team. The customer is a telemedicine company based in Boston that connects patients with doctors over secure video.

responsibilities

Manage, utilize, move and transform data to create reports for senior management and clients
Conduct business analysis on data requests to ensure clarity on the need and proper data usage adherent to security mandates
Build various ETL pipelines among the various tools in play to surface data for consumption by our Reporting Tool
Competing requests from internal and external stakeholders in addition to keeping the reporting infrastructure on par with new product functionality and release cycles
Become a Subject Matter Expert in data classification within the platform and utilize your expertise to identify the most efficient path to deliver data from A to B as needed
Working hand in hand with Hosting, Analytics and Product
Be accountable for the delivery of accurate and timely reporting solutions

requirements

3+ years of experience as Data Engineer
Strong knowledge of GCP Databases
Strong knowledge of Google BigQuery
Strong knowledge of SQL

senior data quality engineer for a business services company

Python.Core

SQL, Management

40 hrs/week

12+ months

Georgia

We are currently looking for a remote Senior Data Quality Engineer with 3+ years of experience in Data Quality Engineering and advanced Data Analysis skills using T-SQL, Python to join our team.

The customer is a provider of high-quality business services in such areas as IT, Procurement, HR, Product Lifecycle Services, Financial Reporting and Analytics, and Real Estate and Facility Services.

responsibilities

Design, lead, and manage a data implementation strategy
Manage and maintain data assets in alignment with data management processes
Ensure data governance and compliance through appropriate processes
Participate in mapping business data sources to appropriate repositories of data
Identify new critical data elements and metadata
Coordinate and ensure the implementation of data asset management standards and policies in close collaboration with the providers of the data
Accountable for data discrepancies and mitigation, data availability and consistency
Drive compliance risk mitigations for regional data privacy and security
Participate in mapping business data needs to appropriate sources of data; provide guidance and coordinate/resolve data issues
Collaborate with internal data governance teams and ensure the implementation of data governance and data asset management standards and policies

requirements

3+ years of experience in Data Quality Engineering
Advanced Data Analysis using T-SQL, Python (familiarity with Pandas); should be able to write complex scripts
Expert at doing Data Profiling and documenting the results
Expert at identifying common data issues related to data types, formats, missing values, duplicate data, etc.
Concrete experience working with various file formats more specifically CSV, Parquet, Any other Delimited, XML, JSON
Expert at working with relational tables in SQL Server Management Studio
Good understanding of time series and historical data. Good understanding
Good understanding of OLTP (Normalized tables in 3NF) and OLAP (Star Schema and Snowflake schema dimension and fact tables) systems
Familiarity with various encodings like ASCII and UNICODE and their implications on data quality
Good understanding of QA and Testing best practices
Be able to create test plans and test cases to do end-to-end testing of data pipelines, and appropriately identify data quality issues, and document them for bug fixes; once the bugs are fixed should be able to go back and do regression testing
Good with designing test harness for automated testing
Ideally good exposure to Azure DevOps
Good understanding of various ETL Tools especially ADF and Databricks
Proficient English (written and spoken) B2

senior data software engineer

Data Software Engineering

Databricks, Microsoft Azure, PySpark

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer.

Join our remote team as a Senior Data Software Engineer working on a project that involves Databricks workflows, APIs, analytical development, and data engineering. In this position, you will be responsible for building and maintaining complex data pipelines, as well as enabling deployment to production. You will also be working on end-to-end production solutions and collaborating with cross-functional teams to deliver high-quality solutions.

responsibilities

Collaborate with cross-functional teams to design and implement complex data pipelines
Develop and maintain high-quality code to enable production deployment
Develop and maintain end-to-end production solutions
Ensure the quality and integrity of data for analytical purposes
Troubleshoot and debug data issues as they arise
Participate in code reviews, ensuring code quality and adherence to standards
Work closely with Data Scientists and business stakeholders to deliver high-quality solutions
Ensure that solutions are scalable and maintainable over time
Document development processes, procedures, and standards
Stay up-to-date with industry trends and emerging technologies

requirements

At least 3 years of experience in Data Software Engineering or related fields
Strong experience with Databricks and Microsoft Azure for data engineering and analytics
Expertise in Python, PySpark, and SQL with knowledge on how to build both within dev and enabling deployment to production
Proven experience in building robust data pipelines with thoughtful design
Experience with Azure DevOps, GitHub, (or others), and version control
Experience in developing end-to-end production solutions
Strong ability to tie loose ends together for solutions across systems
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with REST APIs and S3 would be a plus

Tableau data analyst vacancies at EPAM Anywhere

Companies actively adopting digital technologies and automating processes are creating large volumes of data. Their size can even reach terabytes and zettabytes. Processing and structuring such volumes is a very complex task, which is why Tableau products are used.

Such work requires appropriate skills and time, so dedicated developers are hired for it. In this regard, Tableau analyst jobs are very popular. Many offers include the possibility of comfortable remote work, a foundation for a future career, and a competitive salary.

Experience, level, and education required for Tableau analyst jobs

Employers are looking for active developers with analytical thinking skills and relevant qualifications. While the former skills can be checked during and interview, certificates, diplomas, and a portfolio will help to confirm your Tableau knowledge.

Most jobs require a bachelor's degree, while some offers require a master's degree. As for majors, employers are looking for graduates in computer technology, engineering, informatics, statistics, or economics. In any case, it is important to have a deep knowledge of Tableau tools. After all, it is with this product that the developer needs to work.

A detailed description of Tableau data analyst jobs

Employers are looking for developers with deep knowledge of statistics and analytics. This is required for productive work with the Tableau system, the essence of which is to perform the following duties:

Management of large volumes of data
Data collection and analysis (automatically and manually)
Designing reporting dashboards
Creating visualizations for data obtained by using the Tableau tool
Transformation of abstract data into easily digestible formats

Companies posting Tableau data analyst jobs also expect the developer to have the ability to identify business process bottlenecks and propose solutions. This requires extensive experience not only with Tableau tools but also with various software products and applications.

Required knowledge and skills for Tableau data analyst jobs

The main skills that the developer will need are the ability to work with all components of the Tableau system, such as Reader, Online, Server, Public, and Desktop. In addition, data analyst Tableau jobs require a number of other skills:

The ability to think analytically
Knowledge of SQL
In-depth knowledge of databases
Ability to solve complex problems related to databases and business processes.

It is also important for a developer to have good communication skills, as well as the ability to work in a team.

Apply for Tableau data analyst jobs at EPAM Anywhere

Many companies currently offer work for job seekers with this qualification. If you are interested in a remote format with a flexible schedule and competitive pay, you can consider jobs at EPAM Anywhere.

Interesting and promising data analysis using Tableau jobs suitable for ambitious and active developers are presented here. Additional benefits include the opportunity to build a dream career, ongoing support, and training at our company's online learning center.

Tableau Data Analyst Jobs

Tableau data analyst vacancies at EPAM Anywhere

Experience, level, and education required for Tableau analyst jobs

A detailed description of Tableau data analyst jobs

Required knowledge and skills for Tableau data analyst jobs

Apply for Tableau data analyst jobs at EPAM Anywhere

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