Job Description – Data Engineer (Contractual)
Position: Data Engineer
Employment Type: Contractual (3–6 Months)
Location:Pune (Hybrid/Remote)
Experience: 7+ Years
Joining: Immediate / Within 1 Week
Job Summary
We are seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions. The ideal candidate should have strong expertise in Python, SQL, Spark/PySpark, ETL processes, and cloud platforms such as AWS, Azure, or GCP.
Key Responsibilities
- Design, build, and optimize end-to-end ETL/ELT pipelines.
- Develop scalable data processing solutions using Spark/PySpark.
- Extract, transform, and load data from multiple sources into data warehouses and data lakes.
- Work with large-scale structured and unstructured datasets.
- Collaborate with cross-functional teams to understand business requirements and deliver data solutions.
- Ensure data quality, integrity, and performance optimization.
- Implement and maintain cloud-based data architectures.
- Troubleshoot and resolve data-related issues in production environments.
Required Skills
- 7+ years of experience in Data Engineering.
- Strong hands-on experience with Python and SQL.
- Experience with Spark/PySpark.
- Expertise in ETL pipeline development and maintenance.
- Hands-on experience with Databricks.
- Experience with at least one cloud platform: AWS, Azure, or GCP.
- Strong understanding of Data Warehousing and Data Lake concepts.
- Experience processing large datasets and optimizing performance.
Pay: ₹100,000.00 - ₹200,000.00 per month
Work Location: Hybrid remote in Pune, Maharashtra (Pune, Pune District)
