Job Summary

We are looking for a motivated Junior Data Engineer with hands-on experience in Databricks and up-to-date data engineering practices. The candidate will support the design, development, and maintenance of scalable data pipelines and data processing solutions to enable analytics and reporting needs.

Key Responsibilities

- Develop, maintain, and optimize ETL/ELT data pipelines using Databricks.
- Build and support data ingestion frameworks for structured and semi-structured data.
- Work with large datasets using Apache Spark (PySpark).
- Develop and maintain Delta Lake tables and data transformations.
- Collaborate with business analysts, data scientists, and senior engineers to understand data requirements.
- Perform data validation, data quality checks, and troubleshooting.
- Support deployment and monitoring of data pipelines in production environments.
- Participate in code reviews and contribute to best practices for data engineering.





Required Skills

- 1-3 years of experience in Data Engineering.
- Hands-on experience with Databricks and PySpark.
- Strong SQL skills with experience in data transformation and analysis.
- Understanding of ETL/ELT concepts and data warehousing principles.
- Experience working with cloud platforms such as Azure (preferred).
- Knowledge of Delta Lake, Medallion Architecture (Bronze, Silver, Gold layers).
- Familiarity with Git and CI/CD concepts.
- Good problem-solving and analytical skills.

Preferred Skills

- Exposure to Azure Data Factory (ADF).
- Basic understanding of REST APIs and data integration.
- Experience with workflow orchestration tools.
- Knowledge of Agile/Scrum methodologies.

Mail ID: [email protected]

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📌 Data Engineer (Pune)
🏢 Evoke HR Solutions
📍 Pune