Data Engineer - Python/SQL

Description :

Key Responsibilities :

- Implement scalable data models, data warehouses/lakehouses, and data lakes to support analytics and decision-making.

- Collaborate with cross-functional stakeholders to understand business requirements and translate them into technical data solutions.

- Drive performance tuning, monitoring, and reliability of data pipelines.

- Write clean, modular, and production-ready code with proper documentation and testing.

- Contribute to architectural discussions, tool evaluations, and platform setup.

- Mentor junior engineers and participate in code/design reviews.

Must-Have Skills :

- Deep understanding of data engineering concepts such as ETL/ELT, data modeling (OLTP & OLAP), warehousing, and stream processing.

- Experience with distributed data processing frameworks (e.g., Apache Spark, Flink, or similar).

- Exposure with Java is mandate

- Experience with building pipelines using orchestration tools like Airflow or similar.

- Familiarity with CI/CD pipelines and version control tools like Git.

- Ability to debug, optimize, and scale data pipelines in real-world settings.

Good to Have :

- Exposure to Databricks, dbt, or similar platforms is a plus.

- Experience with Snowflake is preferred.

- Understanding of data governance, data quality frameworks, and observability.

- Certification in AWS (e.g., Data Analytics, Solutions Architect) or Databricks is a plus.

Other Expectations :

- Strong analytical and problem-solving skills with attention to detail.

- Ability to adapt across tools, stacks, and business domains.

- Willingness to travel within India for short/medium-term client engagements as needed.