Associate Data Engineer
- Location
- Pune, Maharashtra, IN
- Work mode
- On-site
- Employment type
- Full-time
About the job
Responsible for supporting the design, development, and maintenance of data pipelines and infrastructure to ensure reliable, high-quality data availability across the organization. Assists with data integration, transformation, and quality monitoring while collaborating with stakeholders and developing foundational data engineering skills under close supervision. Key Result Responsibilities
• Assist in developing and maintaining ETL/ELT pipelines that ingest, transform, and load data from various sources to support analytics and reporting requirements.
- Assist in developing and maintaining ETL/ELT pipelines that ingest, transform, and load data from various sources to support analytics and reporting requirements.
- Write clean, efficient, and well-documented SQL and Python code in line with established development standards and best practices.
- Support data integration activities across data lakes, warehouses, and analytical platforms, ensuring reliable data availability.
- Monitor pipeline performance, investigate issues, and escalate data quality or operational concerns as required.
- Perform data validation and error-handling checks to ensure the accuracy, consistency, and reliability of data outputs.
- Maintain documentation for data pipelines, workflows, and transformation processes.
- Participate in code reviews and collaborate with team members to promote quality and continuous improvement.
- Work closely with data analysts and data scientists to understand requirements and deliver data engineering solutions that support business needs.
• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field.
- Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field.
- Fluent in English language.
- Proficiency in SQL and working knowledge of at least one scripting language (Python preferred)
- Familiarity with ETL/ELT concepts and data integration patterns
- Exposure to cloud platforms (AWS, GCP, or Azure) and common storage services
- Basic knowledge of data modelling and warehousing principles
- Understanding of version control practices using Git
- Strong attention to detail and commitment to data quality
- Eagerness to learn, receive feedback, and grow in a team environment
- Basic understanding of relational database systems (e.g., PostgreSQL, MySQL)
- With 1–2 years of experience in data engineering, software engineering, or a related technical role (including internships or academic projects). ITIL Certification is an advantage but not mandatory
From Students Circles India's careers page (Company careers page), checked 30 Oct 2026.
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Posted 30 Oct 2026 · checked 30 Oct 2026 · Report this job