Senior Data Engineer - Assistant Vice President

Citigroup Inc.; Chennai District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Citigroup Inc. is seeking a Lead Data Engineer to design and build our next-generation data architecture. You will tackle ingestion, transformation, quality, and governance to empower data-driven decision making.

In this hands-on role, you will work across cloud platforms, implement scalable ETL/ELT pipelines, optimize Spark and SQL workloads, and ensure data lineage and monitoring. A Bachelor's degree and 8–10 years of experience are required.

Qualifications

• 8–10 years of experience in Data Engineering.
• Proficiency in Python and strong SQL skills.
• Hands-on experience with distributed computing frameworks (Spark, Hadoop).

Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data from diverse sources.
• Contribute to scalable data architectures including data lakes, warehouses, and lakehouse patterns.
• Implement data quality checks, validation frameworks, and monitoring for data accuracy and lineage.
• Build and optimize data solutions on cloud platforms leveraging Spark, Kafka, Databricks.
• Profile and tune SQL queries and Spark jobs for efficiency and cost effectiveness.

Skills

Python

SQL

Data modeling

Distributed computing

ETL/ELT

Cloud

Education

Bachelor’s degree

Tools

Apache Spark

Hadoop

Databricks

Job description

Are you passionate about building scalable, high-impact data solutions that drive critical business insights? We are seeking an experienced and forward-thinking Lead Data Engineer to join our dynamic team.

In this pivotal role, you will be at the forefront of designing and constructing our next-generation data architecture. You will tackle complex challenges in data ingestion, transformation, and quality, directly shaping our ability to make data-driven decisions. If you thrive on building robust systems from the ground up and want to see your work make a tangible difference, this is the opportunity for you.

Key Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data from diverse sources.
• Contribute to the design of scalable data architectures, including data lakes, data warehouses, and lakehouse patterns.
• Implement data quality checks, validation frameworks, and monitoring solutions to ensure data accuracy, completeness, and lineage compliance.
• Build and optimize data solutions on cloud platforms leveraging services such as Spark, Kafka, Databricks.
• Profile and tune SQL queries, Spark jobs, and pipeline workflows for efficiency and cost effectiveness.

Experience and Education:

• Must to have 8-10 years of experience in Data Engineering
• proficiency in Python, strong SQL skills
• Hands on experience with Apache Spark, Hadoop, or equivalent distributed computing frameworks
• Experience with relational databases and NoSQL systems
  Knowledge on Machine Learning, AI would be added advantage

• Bachelor’s degree/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Family Group:

Technology

Job Family:

Applications Development

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.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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