Lead Data Engineer, Citi

Citi

Location:
India, Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are seeking an exceptionally skilled and experienced Lead Data Engineer to spearhead the re-engineering and automation of our Management Information Systems (MIS) reporting processes. The ideal candidate will possess deep expertise in data engineering, automation, and Big Data technologies, particularly SAS and PySpark. You will collaborate extensively with our larger MIS reporting team, understand the existing operational models, standardize disparate processes, and implement end-to-end automation solutions.

Job Responsibility:

Conduct in-depth analysis of existing manual MIS reporting processes and data flows within USPB MIS reporting team
Design, architect, and develop robust, scalable, and automated data pipelines and reporting solutions
Implement automation solutions using advanced programming techniques with a strong focus on SAS and PySpark in a Big Data environment
Drive the adoption of consistent reporting standards, data governance principles, and best practices across all MIS reporting activities
Work closely with the MIS reporting team, business stakeholders, and IT partners to gather requirements and define technical specifications
Ensure the highest levels of data quality, integrity, and security throughout the automated reporting lifecycle
Stay abreast of emerging data engineering, Big Data, and automation technologies
Create comprehensive technical documentation for all developed solutions, data models, and processes

Requirements:

8-12 years of progressive experience in data engineering, data warehousing, business intelligence, and process automation
Extensive hands-on experience with Big Data technologies and ecosystems (e.g., Hadoop, Spark, Hive, Kafka)
Strong proficiency in SAS programming for complex data manipulation, statistical analysis, and reporting
Demonstrated expertise in PySpark for large-scale data processing, ETL/ELT, and automation within a Big Data context
Solid understanding of relational databases (SQL Server, Oracle, etc.), SQL, data modeling (dimensional, normalized), and database performance tuning
Proven track record of designing and implementing end-to-end data automation solutions
Exceptional analytical, problem-solving, and critical thinking skills
Excellent verbal and written communication skills
Ability to work effectively in a team-oriented, collaborative environment
Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field

Additional Information:

Job Posted:
October 28, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Lead Data Engineer