Your Role:

- Provide technical leadership on data engineering (acquisition, transformation, distribution), across multiple projects and squads

- Guide, nurture, and coach a team of data engineers, architects and database administrators working in an agile, quick-paced environment

- Drive adoption and evolution of frameworks and products based on best-in-class data management technologies, such as ETL/ELT tools, open-source frameworks, workflow management tools, etc.

- Provide suggestions and recommendation on how to improve the overall data engineering architecture towards a scalable, cost effective ecosystem

Your Deliverables:

- Design, implement, and manage data pipelines using Apache Airflow.

- Develop, test, and maintain custom Airflow operators and DAGs.

- Monitor and troubleshoot Airflow workflows to ensure optimal performance and reliability.

- Collaborate with data engineers and data scientists to understand data requirements and translate them into scalable workflows.

- Optimize and tune Airflow configurations for performance and scalability.

- Ensure data quality and integrity across all workflows.





- Document processes, workflows, and configurations.

- Develop, test, and maintain DBT infrastructure that is executed by Airflow

Your Qualities:

- Inherent curiosity and empathy for customer success

- Obsessive about solving customer problems

- Think long and Act short

- Collaborative with your peers, partners and your team.

- Excited about the mission and milestones not titles and hierarchies

- Nurture an environment of experimentation and learning

- Effective in communicating with both business and technical teams

Your Expertise:

- Excellent understanding of enterprise data warehousing principles of ETL/ELT and the tools/technologies used to implement them

- Proven experience with Apache Airflow, including designing and maintaining complex workflows.

- Strong knowledge of Python programming.

- Experience with SQL and relational databases.

- Familiarity with cloud platforms (e.g., AWS) and their data services.

- Experience with version control systems

📌 Lead Data Engineer (Bengaluru)
🏢 Impelsys
📍 Bengaluru