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 strong 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.
Robust 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 knowledge of DevOps and CI/CD pipelines.

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