Data Engineer

Position: Data Engineer

Experience: 3+ Years

Location: Bangalore

Key Responsibilities

- Design, develop, and maintain scalable data pipelines using PySpark and Databricks.
- Build and optimize ETL/ELT workflows for processing large volumes of structured and unstructured data.
- Develop and manage data integration solutions using Azure Data Factory (ADF).
- Collaborate with data analysts, business stakeholders, and cross-functional teams to understand data requirements.
- Optimize Spark jobs for performance, scalability, and cost efficiency.
- Ensure data quality, governance, and security across data platforms.
- Troubleshoot and resolve data pipeline issues while ensuring high availability.

Required Skills

- Robust hands-on experience with PySpark.
- Experience working with Databricks for data engineering and analytics.
- Hands-on experience with Azure Data Factory (ADF).
- Strong knowledge of SQL and data warehousing concepts.




- Good understanding of Azure cloud services and ETL processes.
- Experience with performance tuning and optimization of Spark jobs.
- Excellent analytical, problem-solving, and communication skills.
- Data Warehousing concepts (Star Schema, Snowflake Schema, ETL/ELT, Dimensional Modelling)
- Experience in designing and developing scalable data pipelines
- Strong understanding of data integration, transformation, and optimization techniques

Good to Have

- Experience with Power BI for reporting and dashboard development.
- Knowledge of Azure Data Lake, Delta Lake, or Synapse Analytics.
- Familiarity with CI/CD pipelines and version control tools such as Git.

Education
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

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