Description

Role Description:

• 8+ years of professional experience in data engineering or backend data development roles.

• Expert-level proficiency in SQL, including performance tuning, window functions, CTEs, and analytical queries.

• Strong Python skills for scripting, data processing, and building ETL logic.

• Hands-on experience with relational databases (PostgreSQL, MySQL, etc.) and data warehouses (Snowflake, BigQuery, Redshift).

• Proven experience designing and maintaining large-scale data pipelines in production environments.

• Solid understanding of data modeling techniques (dimensional modeling, normalization/denormalization).

• Strong grasp of data quality, validation, and governance practices.

• Proficiency with version control systems (e.g., Git) and agile development workflows.

• Ability to troubleshoot complex data issues and provide scalable solutions.

• Design, build, and maintain robust and scalable ETL/ELT pipelines using SQL and Python.

• Architect and implement high-performance data models that support both real-time and batch processing.

• Optimize complex SQL queries for performance, scalability, and reliability across large datasets.

• Lead the data engineering efforts across projects, collaborating closely with analysts, data scientists, and software engineers.

• Own and improve data quality, validation, and governance processes.

• Monitor data pipelines and proactively address performance and reliability issues.

• Mentor and support junior data engineers through code reviews, design sessions, and technical leadership.

• Document data flows, definitions, models, and architecture for internal stakeholders and governance purposes.

• Participate in architectural decisions and contribute to long-term data platform strategy.

Skills: Digital : Python~MySQL

Experience Required: 8-10

Key Skills

Education

Any Graduate