Data Ops Capability Deployment Sr. Analyst, Citi

Citi

Location:
India, Pune

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

Data Ops Capability Deployment Sr. Analyst is a seasoned professional role responsible for performing data analytics and building data science/tooling capabilities to support the broader Enterprise Data team. The role emphasizes data pipeline development, data quality solutions, and collaboration with stakeholders to refine data strategy and processes.

Job Responsibility:

Design, develop and maintain robust and scalable data pipeline to ingest, transform and load data from various sources
Implement Data Quality solutions, data validations rules and monitoring to ensure data accuracy
Research and evaluate new data technologies, data mesh architecture and self-service data platforms
Work closely with Enterprise Architecture Team on the definition and refinement of overall data strategy
Proactively identify and address data related challenges, including performance bottlenecks, batch orchestrations, Reports and Dashboards
Build analytics dashboards & data science capabilities for Enterprise Data platforms
Communicate complicated findings and propose solutions to a variety of stakeholders
Understanding business and functional requirements provided by business analysts and convert into technical design documents
Work closely with cross-functional teams e.g. Business Analysis, Product Assurance, Platforms and Infrastructure, Business Office, Control and Production Support
Prepare handover documents and manage SIT, UAT and Implementation
Demonstrate an in-depth understanding of how the development function integrates within overall business/technology to achieve objectives
Performs other duties and functions as assigned
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets.

Requirements:

13+ years of active development background and experience in Financial Services or Finance IT
Experience with Data Quality/Data Tracing/Data Lineage/Metadata Management Tools
Sound knowledge on implementing ETL using PySpark on distributed platforms along with data ingestion, Spark optimization, resource utilization, capacity planning & batch orchestration
Hands on with Hive, HDFS, Airflow, job scheduler
Strong programming skills in Python with experience in data manipulation and analysis libraries (Pandas, Numpy)
Strong knowledge in one or more of the BI visualization tools such as Tableau, PowerBI
Proven experience in implementing Datalake/Datawarehouse for enterprise use cases
Exposure to analytical tools and AI/ML is desired
Should be able to write complex SQL/Stored Procs
Working knowledge on DevOps, Jenkins/Lightspeed, Git, CoPilot is must.

Nice to have:

Exposure to analytical tools and AI/ML
Working knowledge on DevOps, Jenkins/Lightspeed, Git, CoPilot.

What we offer:

Equal opportunity employer
Support for persons with disabilities.

Additional Information:

Job Posted:
October 11, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Ops Capability Deployment Sr. Analyst