Jobs for Data Engineer in India

EPAM is hiring Data Engineer professionals

Apply for a Data Engineer Job in India

Apply for a full-time Data Engineer job at EPAM from India and experience the benefits of working alongside our top global tech professionals.

Our jobs offer a comprehensive benefits package, including health insurance, learning opportunities, and relocation options. In addition, you'll be able to take advantage of the training and mentoring programs available to help you achieve your career goals; bring exceptional value to international projects; get access to the latest technology in our competency centers; and receive the recognition you deserve for your contributions.

At EPAM, you can build a structured career path with the guidance of experienced skill advisors. Grow your career on your own terms while enjoying the flexibility of full-time work.

We Have No Data Engineer Jobs in India Now

Unfortunately, we have no Data Engineer jobs in India now. Explore other jobs

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 . We are actively seeking a hands-on and deeply technical engineer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful solutions. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment, with a focus on Databricks workflows, APIs, and Data Engineering.

responsibilities

Design and develop new features using the Agile development process (Scrum)
Prioritize and ensure high-quality standards at every stage of development
Guarantee reliability, availability, performance, and scalability of systems
Maintain and troubleshoot code in large-scale, complex environments.
Collaborate with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.
Provide technical input for new feature requirements, partnering with business owners and architects
Ensure continuous improvement by staying abreast of industry trends and emerging technologies
Drive the implementation of solutions aligned with business objectives.
Mentor and guide less experienced team members, helping them enhance their skills and grow their careers
Participate in code reviews, ensuring code quality and adherence to standards
Collaborate with cross-functional teams to achieve project goals
Actively contribute to architectural and technical discussions

requirements

At least 3 years of production experience in Data Software Engineering
Expertise in Databricks, Microsoft Azure, PySpark, Python, and SQL for building both within development and enabling deployment to production
Experience with Azure DevOps, GitHub, (or others), and version control for effective project management
Ability to develop end-to-end production solutions
Strong experience working on one or more cloud platforms such as Azure, GCP, AWS
Experience in building out robust data pipelines
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 Power BI would be a plus

Senior Data Software Engineer

Data Software Engineering

Databricks, Python, 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 within a global leader at the forefront of data analytics and insights. We are actively seeking a hands-on and deeply technical developer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful data-driven solutions. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment.

responsibilities

Design and develop new features using the Agile development process (Scrum)
Prioritize and ensure high-quality standards at every stage of development
Guarantee reliability, availability, performance, and scalability of systems
Maintain and troubleshoot code in large-scale, complex environments.
Collaborate with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.
Provide technical input for new feature requirements, partnering with business owners and architects
Ensure continuous improvement by staying abreast of industry trends and emerging technologies
Drive the implementation of solutions aligned with business objectives.
Mentor and guide less experienced team members, helping them enhance their skills and grow their careers
Participate in code reviews, ensuring code quality and adherence to standards
Collaborate with cross-functional teams to achieve project goals
Actively contribute to architectural and technical discussions

requirements

At least 3+ years of production experience in Data Software Engineering
Be hands-on with deep expertise in server development in Python and PySpark
Deep expertise in Azure Data Factory for building scalable and high-performance applications
Experience with Advanced SQL for designing and managing database schema, including procedures, triggers, and views
Experience in Data analysis and troubleshooting
Knowledge of Integration testing support for version control, integration, and deployment
Support applications and systems in a production environment, ensuring timely resolution of issues
Reviewing requirements and translating them into a documented technical design for implementation
Exposure to Databricks, hdinishght, azure data lake, data api, Spark, Scala, Kafka for application packaging and deployment
Expertise in Big Data Primary skills and Data background for designing and building scalable applications
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with EDL changes in DB Views/Stored procedures is a plus

Senior Data Software Engineer

Data Software Engineering

Databricks, Microsoft Azure, PySpark

40 hrs/week

12+ months

Poland

Become a key player in our remote team by taking on the role of a Senior Data Software Engineer dedicated to a project centered around Databricks workflows, APIs, analytical development, and data engineering.

In this role, your primary focus will involve constructing and sustaining intricate data pipelines, facilitating seamless deployment to production. Your responsibilities extend to crafting end-to-end production solutions while engaging with cross-functional teams to deliver top-notch results.

responsibilities

Engage in the Agile development process (Scrum) to conceive and implement innovative features
Prioritize and uphold high-quality standards throughout each developmental phase
Ensure the dependability, accessibility, performance, and scalability of systems
Troubleshoot and maintain code within expansive, intricate environments
Work in tandem with Developers, Product and Program Management, and seasoned technical professionals to furnish customer-centric solutions
Provide technical insights for new feature requirements in collaboration with business owners and architects
Stay abreast of industry trends and emerging technologies for continuous improvement
Champion the execution of solutions aligned with business objectives
Guide and mentor less seasoned team members, fostering skill enhancement and career growth
Participate in code reviews, ensuring adherence to standards and code quality
Collaborate seamlessly with cross-functional teams to achieve project objectives
Actively contribute to architectural and technical discourse

requirements

A minimum of 3 years of hands-on experience in Data Software Engineering
Proficiency in Databricks, Microsoft Azure, PySpark, Python, and SQL for development and deployment in production
Familiarity with Azure DevOps, GitHub (or alternative platforms), and version control for efficient project management
Capability to develop comprehensive end-to-end production solutions
Robust experience on one or more cloud platforms such as Azure, GCP, AWS
Proven track record in constructing resilient data pipelines
Capacity to integrate disparate elements for solutions spanning multiple systems
Exceptional communication skills in both spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with REST APIs and Power BI would be an advantage

Senior Data Software Engineer

Data Software Engineering

Databricks, Python, PySpark

40 hrs/week

12+ months

Poland

We are seeking a remote Senior Data Software Engineer with experience in PySpark, Azure Data Factory, and advanced SQL for the project.

The ideal candidate must have at least 2 years of solid/hands-on experience in Data Software Engineering with primary skills in Big Data and a strong data background.

responsibilities

Conduct data analysis and troubleshootin
Plan and implement new requirements/data entities on ED
Provide support for integration testing
Make sure data pipelines are scalable and efficient

requirements

3+ years of relevant work experience
Must have skills in DSE Python and Azure Databricks
Familiarity with EDL changes in DB Views/Stored procedures and integration testing support
Advanced knowledge of PySpark, Azure Data Factory, and SQL
Ability to collaborate effectively with the team
Excellent communication skills with an upper-intermediate level of English

nice to have

Experience with HDInsight, Azure Data Lake, Data API, Spark, Scala, and Kafka will be an added advantage

Senior Data Software Engineer

Data Software Engineering

Databricks, Python, 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 within a global leader in providing cutting-edge cloud-based solutions. We are actively seeking a hands-on and deeply technical developer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful solutions. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment, using technologies such as Python, PySpark, Microsoft Azure, SQL Azure, and Databricks.

responsibilities

Setting up required Azure services
Building and deploying POC for replacement of the external vendor inside of the infrastructure
Extracting data from data lake (EDL)
Processing data based on application requirements & architecture
Mimicking current existing application
Prioritizing and ensuring high-quality standards at every stage of development
Guaranteeing reliability, availability, performance, and scalability of systems
Collaborating with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.
Providing technical input for new feature requirements, partnering with business owners and architects
Ensuring continuous improvement by staying abreast of industry trends and emerging technologies
Actively contributing to architectural and technical discussions

requirements

At least 3+ years of production experience in Data Software Engineering
Be hands-on with deep expertise in Data Engineering, in both functional and non-functional areas
Deep expertise in PySpark for building scalable and high-performance data applications
Experience with Microsoft Azure for cloud-based infrastructure and application management
Familiarity with SQL Azure for designing and managing database schema, including procedures, triggers, and views
Exposure to Databricks for creating unified data analytics platforms
Knowledge of Python web services such as Django and Flask for building efficient APIs and web solutions
Support applications and systems in a production environment, ensuring timely resolution of issues
Expertise in build and test tools for managing build and testing processes
Excellent communication skills in spoken and written English at an Upper-intermediate level or higher

nice to have