Job Description: Summary:
Build and maintain scalable data pipelines, warehouses, and lakes to ensure accurate, accessible, and secure data for analytics and reporting.
Key Responsibilities:

- Develop and optimise data pipelines and ETL/ELT processes.

- Build and maintain data warehouse and data lake structures.

- Ensure data quality, governance, and security across platforms.

- Collaborate with data scientists and engineering teams.

Monitor performance and troubleshoot data workflows.
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Skills Required:

- Solid SQL, Python, Spark, Redshift.

- Experience with cloud data platforms (AWS/Azure). Preferably AWS.

- Knowledge of data modelling, governance, and metadata.

- Understanding of large-scale distributed data systems.

Responsibilities: Key Responsibilities:

- Develop and optimise data pipelines and ETL/ELT processes.





- Build and maintain data warehouse and data lake structures.

- Ensure data quality, governance, and security across platforms.

- Collaborate with data scientists and engineering teams.

- Monitor performance and troubleshoot data workflows.

Qualifications: Graduate in Computer Science, Data Science, or related field. 3-4 years of experience in data engineering or a related field.

Skills Required:

- Strong SQL, Python, Spark, Redshift.

- Experience with cloud data platforms (AWS/Azure). Preferably AWS.

- Knowledge of data modelling, governance, and metadata.

- Understanding of large-scale distributed data systems.

📌 Lead Assistant Manager (India)
🏢 EXL Service
📍 India