Senior Data Engineer - Assistant Vice President

Citi; Chennai District; On-site; INR 2,800,000 - 5,200,000; Full time

Job summary

Citi in Chennai seeks a Lead Data Engineer to design and build scalable data architecture and impactful solutions that power critical business insights. You will own end-to-end data ingestion, transformation, and quality checks.

With 8–10 years in data engineering, you bring Python and SQL proficiency, hands-on Spark/Hadoop experience, and cloud skills with Databricks or Kafka. You will mentor teams and drive efficient, reliable data delivery.

Qualifications

• 8–10 years of experience in Data Engineering.
• Proficiency in Python and SQL.
• Hands-on experience with Apache Spark, Hadoop or equivalent distributed computing frameworks.

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.

Skills

Python

SQL

Apache Spark

ETL/ELT

Data quality

Education

Bachelor's degree

Tools

Databricks

Kafka

Hadoop

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.

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