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**Senior Data Engineer – Assistant Vice President** - Develop scalable data solutions, ensure business priorities align with architectural vision. - 9-11 years' experience in data-intensive implementation using agile methodologies. - Skills: SQL, data modeling, ETL (Ab Initio, Apache Spark), big data platforms (Hadoop, Hive), cloud (AWS/GCP). - Lead teams, independently deliver medium-sized components, mentor others. - Based in Pune, India; hybrid role; full-time position.

Compensation: Not specified
City: Pune
Country: India

Full Job Description

Senior Data Engineer Assistant Vice President

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Job Req Id:

26959072

Location(s):

Pune, Maharashtra, India

Job Type:

Hybrid

Posted:

May. 04, 2026

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, youll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Job Title:

Data Engineer C12 / Assistant Vice President (India)

The Role

The Data Engineer is accountable for developing high quality data products to support the

Banks 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

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

9 to 11 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

Experience in cloud native technologies and patterns

A passion for learning new technologies, and a desire for personal growth, through

self-study, formal classes, or on-the-job training

Excellent communication and problem-solving skills

An inclination to mentor; an ability to lead and deliver medium sized components

independently

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

: Expertise around 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

Data Governance:

A strong grasp of

principles and practice including data quality,

security, privacy and compliance

Technical Skills (Valuable)

Ab Initio

: Experience developing Co>Op graphs; ability to tune for performance.

Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT,

Data Profiler and Conduct>IT, Control>Center, Continuous>Flows

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

File Formats

Exposure in working on Event/File/Table Formats such as Avro,

Parquet, Protobuf, Iceberg, Delta

Others

Experience of using a Job scheduler e.g., Autosys. Exposure to Business

Intelligence tools e.g., Tableau, Power BI

Certification on any one or more of the above topics would be an advantage.

Show all files (opens in new window)

------------------------------------------------------

Job Family Group:

Technology

------------------------------------------------------

Job Family:

Digital Software Engineering

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

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If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi (opens in new window).

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Save

Full Job Description

Senior Data Engineer Assistant Vice President

Apply (opens in new window)

Save

Job Req Id:

26959072

Location(s):

Pune, Maharashtra, India

Job Type:

Hybrid

Posted:

May. 04, 2026

Discover your future at Citi

Job Overview

Job Title:

Data Engineer C12 / Assistant Vice President (India)

The Role

The Data Engineer is accountable for developing high quality data products to support the

Banks 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

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

9 to 11 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

Experience in cloud native technologies and patterns

A passion for learning new technologies, and a desire for personal growth, through

self-study, formal classes, or on-the-job training

Excellent communication and problem-solving skills

An inclination to mentor; an ability to lead and deliver medium sized components

independently

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

: Expertise around 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

Data Governance:

A strong grasp of

principles and practice including data quality,

security, privacy and compliance

Technical Skills (Valuable)

Ab Initio

: Experience developing Co>Op graphs; ability to tune for performance.

Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT,

Data Profiler and Conduct>IT, Control>Center, Continuous>Flows

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

File Formats

Exposure in working on Event/File/Table Formats such as Avro,

Parquet, Protobuf, Iceberg, Delta

Others

Experience of using a Job scheduler e.g., Autosys. Exposure to Business

Intelligence tools e.g., Tableau, Power BI

Certification on any one or more of the above topics would be an advantage.

Show all files (opens in new window)

------------------------------------------------------

Job Family Group:

Technology

------------------------------------------------------

Job Family:

Digital Software Engineering

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

Apply (opens in new window)

Save

Senior Data Engineer – Assistant Vice President

Full Job Description

Senior Data Engineer Assistant Vice President

Discover your future at Citi

Job Overview

Job Family Group:

Job Family:

Time Type:

Most Relevant Skills

Other Relevant Skills

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