Job Summary

We are looking for a motivated Junior Data Engineer to design, develop, and maintain scalable data pipelines and data integration solutions. The ideal candidate should have a solid foundation in SQL, Python, cloud technologies, and ETL concepts, with a passion for working with large datasets and modern data platforms.

Key Responsibilities
- Develop and maintain ETL/ELT data pipelines.
- Build, optimize, and troubleshoot data workflows.
- Extract, transform, and load data from multiple structured and unstructured sources.
- Develop and optimize SQL queries, stored procedures, and database objects.
- Monitor data pipelines and resolve production issues.
- Ensure data quality, integrity, and governance standards are followed.
- Work with cloud-based data platforms and storage services.
- Collaborate with Data Engineers, Data Scientists, BI Developers, and business stakeholders.
- Support data warehouse and data lake implementations.
- Participate in code reviews and follow CI/CD best practices.
- Document technical designs, workflows, and operational procedures.





Required Skills
- 1–3 years of experience in Data Engineering or ETL Development.
- Strong SQL skills.
- Good programming experience in Python.
- Knowledge of ETL tools and data integration concepts.
- Experience with at least one cloud platform (Azure, AWS, or GCP).
- Understanding of relational databases and data warehousing concepts.
- Familiarity with Git and version control.
- Basic understanding of REST APIs and data ingestion techniques.
- Good analytical and problem-solving skills.
- Strong communication and collaboration abilities.

Preferred Skills
- Experience with Azure Data Factory, AWS Glue, or GCP Dataflow.
- Exposure to Databricks or Apache Spark.
- Knowledge of Kafka or other streaming technologies.
- Experience with Snowflake, Synapse, BigQuery, or Redshift.
- Understanding of Airflow or similar workflow orchestration tools.
- Familiarity with Power BI or Tableau.
- Basic knowl

📌 Junior Data Engineer (Pune)
🏢 iLink Digital
📍 Pune