Officer- Data Engineer (Big Data, Hadoop, Hive, Python, Spark)

Citi Bank

2 - 5 years

Pune

Posted: 06/10/2025

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Job Description

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Shape your Career with Citi

We’re currently looking for a high caliber professional to join our team as 25905819 Officer, Data Engineer -C11- Hybrid based in Pune, India. Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future.

Role- The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team.

Responsibilities

•Developing and supporting scalable, extensible, and highly available data solutions

•Deliver on critical business priorities while ensuring alignment with the wider

architectural vision

•Identify and help address potential risks in the data supply chain

•Follow and contribute to technical standards

•Design and develop analytical data models

Required Qualifications & Work Experience

•5 to 8 years’ experience implementing data-intensive solutions using agile methodologies

•Experience of relational databases and using SQL for data querying, transformation and manipulation

•Experience of modelling data for analytical consumers

•Ability to automate and streamline the build, test and deployment of data pipelines

•First Class Degree in Engineering/Technology (4-year graduate course)

Technical Skills (Must Have)

•ETL: Hands on experience of building data pipelines. Proficiency in two or more data

integration platforms such as Ab Initio, Apache Spark, Talend and Informatica

•Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for

data storage and processing

•Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB,DynamoDB) database design

•Data Modeling & Design: Good exposure to data modeling techniques; design,

optimization and maintenance of data models and data structures

•Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala

•DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management

Technical Skills (Valuable)

•Java, Spring boot and Maven: Exposure to Spring Boot , Maven, RESTful API

and microservices

•Cloud: Good exposure to public cloud data platforms such as S3, Snowflake,

Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs

•Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls

•Containerization: Fair understanding of containerization platforms like Docker,

Kubernetes. Certification on any of the above topics would be an advantage

About Company

Citi Bank, officially known as Citibank, is a global financial institution and the consumer division of Citigroup, a leading multinational banking corporation. Established in 1812, Citibank provides a wide range of financial services, including retail banking, credit cards, personal loans, wealth management, and investment banking. With a strong presence in over 100 countries, it serves millions of customers worldwide, offering both individual and business banking solutions. Citibank is known for its digital banking innovations, global reach, and commitment to financial inclusion and economic growth.