Life @ StratLytics

If you want to become the Captain of your own Ship, then StratLytics is the place to work at.

Everyone, here, is free to opine and contribute to the intellectual property that we are trying to build. We believe that passion drives excellence and not just talent. We keep learning, introspecting, debating and still learning to make it possible. Office work and business decisions are kept transparent enough for everyone to make meaningful contributions. You will feel the pleasure of handling your own Ship and pressure of delivering on missions at the same time. If you think you are up for the same, StratLytics is the place to work at. If you want to work with us and don't see any suitable openings here, still write to us with your resume at telling us why.

Data Engineer

Location :StratLytics Office in Bhubaneswar/Client Site

Overview: At StratLytics, we are on a quest for a skilled Data Engineer who shares our passion for crafting cutting-edge data pipelines. Your role will be pivotal in the architecture, development and refinement of data infrastructure, specifically tailored for data science endeavors.

Key Responsibilities:

  • Architect and implement comprehensive data pipelines in Azure/AWS, tailored for data science needs.
  • Work with CI/CD pipelines and DevOps tools like Jenkins, ML flow, or Air flow.
  • Use Python, Spark, and Git to develop data pipelines and processing.
  • Understand APIs, caching, and messaging for effective data engineering.
  • Continuously pioneer the adoption and industrialization of emerging data technologies.
  • Adapt to diverse roles based on project requirements, maintaining flexibility.
  • Embrace feedback and constantly seek to learn new skills.


  • Proven track record with 1 to 3 years in Data Engineering, Data Analysis, or similar roles.
  • Academic credentials in quantitative disciplines such as Engineering, Mathematics, Statistics, Operations Research, or Economics, at a Bachelor's or Master's level.
  • Proficiency in Python, Spark, and Git for advanced data handling.
  • Solid experience in CI/CD practices and DevOps tools, including Jenkins, MLflow, or Airflow.
  • Hands-on expertise in Azure/AWS environments, focusing on data transformations, structures, metadata, and efficient workload management.
  • A genuine passion for continuous learning and solving complex challenges.
  • Ability to excel both independently and collaboratively within a team setting.

Culture and Benefits

- Health insurance coverage of 5 or more Lacs for self and dependents, Provident Fund,
- exciting and challenging problems to work on in an entrepreneurial setup,
- 16 weeks of intensive boot camp to strengthen the fundamentals of data engineering and data science.
- We also sponsor continuous learning in data engineering/data science for our employees.

To apply, please submit your application along with your resume and a cover letter describing your experience and interest in the role. We look forward to hearing from you!

Please click here to apply for the data engineer position.