Job Description: Data Engineer – Python with Ab Initio Exposure
We are seeking a skilled Data Engineer with strong Python experience and exposure to Ab Initio. The ideal candidate will design, develop, and maintain reliable data pipelines, ETL processes, and data integration solutions using up-to-date Python-based technologies while supporting enterprise data platforms.
Key Responsibilities
- Design, develop, and maintain scalable batch and near-real-time data pipelines using Python.
- Build ETL/ELT processes for data extraction, transformation, validation, and loading.
- Work with relational databases, data warehouses, APIs, files, and distributed data platforms.
- Develop reusable Python modules, frameworks, and automation utilities for data engineering workflows.
- Support and enhance existing Ab Initio applications, graphs, and workflows under guidance from senior team members.
- Collaborate with business analysts, data architects, developers, and stakeholders to understand data requirements.
- Implement data quality checks, reconciliation, error handling, logging,



and exception management.
- Optimize pipeline performance, scalability, reliability, and resource utilization.
- Perform root cause analysis and resolve data-related production issues.
- Integrate data pipelines with enterprise systems, databases, cloud platforms, and scheduling/orchestration tools.
- Participate in code reviews, testing, deployment, and production support activities.
- Document technical designs, data mappings, operational procedures, and workflows.
- Follow data governance, security, compliance, and engineering standards.
Required Skills and Qualifications
- 4+ years of experience in data engineering, ETL development, or data integration.
- Strong programming experience in Python, including scripting, object-oriented programming, data processing, and automation.
- Good knowledge of SQL, relational databases, data warehousing, dimensional modeling, and ETL concepts.
- Experience with Pyt

📌 Data Engineer with Python and Abinitio (Pune)
🏢 Citi
📍 Pune