- Design, develop, and maintain scalable ETL/data pipelines.

- Write and optimize complex SQL queries for data extraction, transformation, and reporting.

- Perform data validation, quality checks, and troubleshooting to ensure data accuracy.

- Develop Python scripts for automation and data processing.

- Build and maintain data models and transformations using DBT.

- Work with Snowflake for data warehousing and analytics solutions.

- Collaborate with business and technical teams to translate requirements into data solutions.

- Monitor and improve pipeline performance, reliability, and scalability.

- Utilize AI-assisted coding tools (e.g., Claude Code) to improve development efficiency.

- Support cloud-based data platforms and orchestration tools such as Airflow, AWS, or GCP.

Preferred candidate profile

- 6-12 years of experience in Data Engineering, ETL Development, or Data Warehousing projects.

- Strong hands-on expertise in Advanced SQL, including complex queries, joins, stored procedures,



and query optimization.

- Proficient in Python for data processing, automation, and data validation.

- Experience building and maintaining ETL pipelines and large-scale data workflows.

- Hands-on experience with Snowflake and up-to-date cloud data platforms.

- Good knowledge of DBT for data modeling, testing, and transformation.

- Familiarity with orchestration tools such as Airflow.

- Exposure to cloud environments like AWS or GCP.

- Strong analytical and problem-solving skills with a focus on data quality and accuracy.

- Experience working with stakeholders to translate business requirements into technical solutions.

- Excellent communication and collaboration skills.

- Candidates with experience using AI-assisted coding tools (Claude Code, GitHub Copilot, etc.) will be preferred.

📌 Senior Data Engineer | SQL | Python | Snowflake | DBT | (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad