Senior Data Engineer - Vice President - Python Development at Citi

Location: Pune, Maharashtra
Type: Full-time, Other
Level: senior
Posted: Sep 28, 2026

Description

Citi is hiring a Vice President-level Data Engineer to build the data foundation for greenfield Generative AI products across Markets. The role focuses on designing scalable Python pipelines, PostgreSQL and Parquet storage strategies, low-latency data serving, data quality, observability, security, and CI/CD practices. The engineer will also contribute to architecture, standards, and technical direction while collaborating with AI, software, product, and Markets stakeholders.

Required Skills

Python
PostgreSQL
Apache Parquet
Apache Spark
Data modelling
Data quality
CI/CD
Kubernetes

Additional Information

Required Previous Experiences: Extensive hands-on experience in data engineering, software engineering, or a closely related discipline
Proven track record of designing and delivering large-scale data platforms or data-intensive applications
Strong SQL skills and extensive experience with relational databases, particularly PostgreSQL
Experience with data modelling, indexing, partitioning, query optimisation, and database performance tuning
Strong knowledge of the Python data ecosystem, including pandas, PyArrow, SQLAlchemy, and NumPy
Practical experience with columnar formats such as Apache Parquet and storage and serialisation strategies
Experience processing large-scale datasets using Apache Spark, Dask, Polars, or equivalent frameworks
Strong understanding of ETL and ELT architecture, including incremental processing, idempotency, failure recovery, and schema evolution
Experience implementing automated data quality controls, reconciliation, lineage, monitoring, and operational alerting
Strong software engineering fundamentals, including design, testing, maintainability, code review, and CI/CD
Experience deploying and operating services on container platforms such as Kubernetes or OpenShift
Understanding of data governance and security practices, including encryption, masking, classification, entitlements, and fine-grained access control
Preferred Qualifications: Experience with workflow orchestration technologies such as Apache Airflow, Dagster, or Prefect
Familiarity with Generative AI applications, retrieval architectures, LLMs, agentic systems, or structured evaluation
Experience building data foundations for search, retrieval, analytics, machine learning, or AI applications
Knowledge of financial instruments, trading concepts, and data structures within FX, Equities, or other capital markets domains
Experience working with temporal, reference, market, or transactional data
A bachelor’s or master’s degree in Computer Science, Engineering, or another relevant quantitative discipline, or equivalent professional experience
Translation Company Name: Professional