Job Description:

- Design, develop, and maintain scalable ETL/ELT pipelines using Python, Spark, Databricks, and Snowflake.

- Build and optimize data ingestion frameworks from multiple structured and unstructured data sources.

- Develop data transformation logic and business rules using PySpark and SQL.

- Design and maintain enterprise data warehouses using Snowflake.

- Create effective data models, schemas, views, stored procedures, and tasks in Snowflake.

- Optimize query performance, warehouse utilization, and overall Snowflake cost.

- Develop scalable data processing solutions using Apache Spark on Databricks.

- Collaborate with business analysts, data scientists, and application teams to understand data requirements.

- Monitor data quality, data integrity, and pipeline performance.

- Troubleshoot production issues and perform root cause analysis.

- Implement best practices for data governance, security, and performance optimization.

- Participate in code reviews and mentor junior team members.

- Work in Agile/Scrum development environments.

📌 Data Engineer (Snowflake, spark, Databricks, Python) (India)
🏢 Acme Services Private
📍 India