Experience: 3–5 Years
Employment Type: Contract / Full time

Job Summary

We are looking for a Data Integration Engineer with hands-on experience in developing data pipelines, ETL/ELT processes, and data integration solutions. The ideal candidate should have strong expertise in Python, SQL, PySpark, Databricks, and Snowflake, along with cloud data platform experience.

Key Responsibilities

- Develop and maintain ETL/ELT pipelines and data ingestion processes.
- Work with Python, SQL, PySpark, and Databricks for data transformation.
- Integrate data from multiple sources using databases and REST APIs.
- Work on Snowflake, Azure, AWS, and Microsoft Fabric.
- Implement data quality checks, validation, and reconciliation processes.
- Optimize data pipelines and SQL queries for better performance.
- Collaborate with engineering and analytics teams.





Required Skills

- Python, SQL, PySpark
- Databricks and Snowflake
- ETL/ELT and Data Pipeline Development
- Data Integration and Data Warehousing
- Azure and/or AWS
- Apache Airflow / Azure Data Factory
- REST APIs and Data Transformation
- Git, CI/CD, and Data Quality Checks

Good to Have

- Microsoft Fabric, Salesforce, Power BI
- Terraform and AI/RAG exposure
- Experience with large-scale datasets.

Ideal Candidate

Candidates with 3–5 years of experience in Data Engineering or Data Integration, strong programming skills, and practical experience in building and managing data pipelines.

Work Location: Remote

📌 Data Integration Engineer (India)
🏢 Academian
📍 India