We are looking for an Associate Data Engineer to join our data engineering team. The role is suitable for early-career candidates with strong fundamentals in Python, SQL, data processing, databases, and cloud technologies .
You will work on building and maintaining data pipelines, transforming and processing data, supporting data integration activities, and working with cloud-based data environments.
Key Responsibilities
- Develop and maintain ETL/ELT pipelines for collecting, transforming, and processing data.
- Write efficient SQL queries for data extraction, transformation, validation, and analysis.
- Develop data processing scripts and utilities using Python .
- Work with relational and NoSQL databases for data storage and processing.
- Perform data validation, cleansing, and troubleshooting to ensure data quality.
- Support integration of data from multiple sources into centralized data platforms.
- Work with cloud platforms such as AWS, GCP, or Azure .
- Monitor data pipelines and troubleshoot failures or data-related issues.
- Collaborate with software engineers, analysts,



and other technical teams on data requirements.
- Follow engineering best practices for version control, testing, documentation, and deployment.

Required Skills
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field .
- Strong programming fundamentals in Python .
- Valuable understanding of SQL and relational databases.
- Understanding of ETL/ELT concepts and data pipelines .
- Familiarity with databases such as MySQL, PostgreSQL, Oracle, MongoDB, or similar .
- Basic understanding of at least one cloud platform: AWS, GCP, or Azure .
- Familiarity with Git/version control .
- Strong problem-solving and analytical skills.

Good to Have
- Exposure to PySpark, Apache Spark, Pandas, or NumPy .
- Experience with cloud services such as GCP, AWS, or Azure .
- Exposure to Docker, CI/CD, or Linux .
- Experience working with APIs and data integration.
- Academic

📌 Associate Data Engineer (Pune)
🏢 Teamlease Digital Private
📍 Pune