We are looking for an experienced Data Engineer with 5+ years of hands-on experience in Scala, PySpark, Databricks, and Snowflake. The candidate will be responsible for designing, developing, and optimizing scalable data pipelines and data processing solutions using contemporary cloud data engineering technologies.

Key Responsibilities

- Design, develop, and maintain scalable ETL/ELT data pipelines using PySpark and Scala.

- Develop and optimize data processing jobs using Databricks and Apache Spark.

- Build and maintain data models, tables, views, and pipelines in Snowflake.

- Perform data ingestion, transformation, cleansing, and validation from multiple sources.

- Optimize Spark jobs, SQL queries, and Snowflake workloads for performance and cost.





- Work with large-scale structured and semi-structured datasets.

- Implement data quality, monitoring, error handling, and troubleshooting processes.

- Collaborate with Data Architects, Business Analysts, and application teams to understand data requirements.

- Develop reusable and production-ready data engineering frameworks.

- Participate in code reviews, testing, deployment, and production support.

- Follow best practices for data security, governance, and pipeline reliability.

📌 Data Engineer (Bengaluru)
🏢 CodeForce 360
📍 Bengaluru