Citi Bank
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Pune · Hybrid · 4-7 Yrs · Oct 17
Investment & Asset Management · 10000+ Employees · New York, US
Citi is more than a global financial services company. It’s an engine for progress. Join us, and you’ll have the chance to get involved in progress in all its shapes and forms, right across the world. From the micro to the macro, from Australia to Zambia, the work we do has real positive impact. Wherever you are and whatever you do, progress starts here. We’ve built a world famous, trusted brand over 200 years of continuously evolving financial services. And today, our influence continues to grow: with financial operations in 160 countries and 100 currencies. We have 200 million different clients, including some of the biggest names in the industries, sectors, businesses and governments that we serve every day. It all adds up to an exciting place to be for talented, ambitious people who want to build a truly remarkable career.
Hiring: Engineering
What employees say
+ Job security Hybird work model
− No work life balance Internal politics
More reviews on the company profile.
Interview experience · Software Engineer Intern
We had a OA, which was easy to medium level. Had basic string, array & Math programming questions. 2 rounds of interview- Technical & HR. Technical had moderate level questions. The communication &^ manageme
Average difficulty · Chennai · 961 reports
More interview insightsJob description
Overview
## Data Engineer with Python and AbinitioApply: Hybrid: 1/124, SHIVAJI GARDENS, MOONLI: Pune Maharashtra India: Full time: Posted Today: 26995073## Job Description: Data Engineer – Python with Ab Initio ExposureWe are seeking a skilled Data Engineer with strong Python experience and exposure to Ab Initio.
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 Python data libraries such as Pandas and PySpark, or equivalent distributed processing frameworks.
- Exposure to Ab Initio tools, including GDE, Co>Operating System, EME, or Conduct>It.
- Understanding of Ab Initio graphs, components, metadata, workflows, and operational processes.
- Experience implementing data validation, reconciliation, error handling, and monitoring.
- Familiarity with Git, CI/CD, testing practices, and Agile delivery methods.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and collaboration skills.### Preferred Skills
- Experience with Apache Airflow, Control-M, or other workflow orchestration tools.
- Exposure to Spark, Kafka, cloud data platforms, or containerized environments.
- Familiarity with data modeling, metadata management, data lineage, and data quality frameworks.
- Experience working in financial services, banking, or other highly regulated environments.
- Knowledge of performance tuning for Python, SQL, Spark, or Ab Initio workloads.
- 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
- 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.
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Job application FAQ
Last updated 25 October 2026
- How do I apply for Data Engineer with Python and Abinitio at Citi Bank?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Citi Bank may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer with Python and Abinitio remote or on-site in Pune, Maharashtra?
- This listing is marked hybrid with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Engineer with Python and Abinitio role at Citi Bank?
- This is a mid-level Data Engineer with Python and Abinitio role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.