We are looking for a Mid-Level Big Data Engineer with strong expertise in SQL, Python, BigQuery, and Big Data Engineering. The candidate should have hands-on experience developing complex SQL queries, building Python applications, and working with large-scale data engineering solutions. Familiarity with AI-assisted development tools, particularly Claude Code, is expected.
Key Responsibilities
1. Design, develop, test, and maintain complex SQL queries.
2. Develop Python applications and scripts for data processing and engineering workflows.
3. Work with Google BigQuery, including internal vs. external tables, partitioning, clustering, and query optimization.
4. Build and maintain scalable Big Data Engineering solutions.
5. Integrate and process large datasets across different data sources.
6. Leverage AI-assisted coding tools, particularly Claude Code, to improve development productivity.
7. Work with DBT and Alembic for data transformation and database migration where applicable.
Mandatory Skills
- SQL: Strong hands-on experience with complex SQL queries. Deal Breaker
- Python: Hands-on Python application development.
- BigQuery: Tables, partitioning, clustering, and query optimization.
- Big Data Engineering: Experience working on enterprise-scale data engineering projects.
- Claude Code: Working knowledge of AI-assisted coding.
Good-to-Have Skills
- DBT (Data Build Tool)
- Alembic
- AI-assisted development practices
Candidate Requirements
- 6–8 years of relevant experience.
- Strong hands-on development experience.
- Ability to independently develop, test, and maintain data engineering solutions.
- Preferred locations: Bangalore and Hyderabad.