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Senior Data Engineer - Apache Spark and SQL - Vice President

Citi Bank — Pune, PUNE

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Experience 0-5 Years yrs
Age 21-35 yrs
Gender Both
Salary Not Disclosed LPA
Department Sales Loans
Product Loans

Job Description

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

We are looking for a highly skilled Senior Databricks Engineer to contribute to the engineering, modernization, and continuous evolution of data processing platform on Databricks on AWS. While supporting the transition from the legacy Cloudera Hadoop platform to Databricks on AWS, this role will continue to play a key part in enhancing performance, simplifying pipelines, and delivering new capabilities on the Databricks platform over the long term.

The ideal candidate is a strong hands‑on Spark engineer with solid design experience, capable of contributing to architectural decisions while leading complex implementation and optimization efforts.


Responsibilities:

1. Platform Engineering & Modernization

  • Refactor and modernize existing Spark pipelines to Databricks native architectures
  • Eliminate legacy Hadoop dependencies and adopt cloud native AWS patterns
  • Enhance and extend existing processing logic using optimized Spark (JavaSpark / PySpark) on Databricks

2. Databricks Native Development

  • Build and optimize solutions using Databricks features, including Delta Lake, Databricks Workflows for orchestration and Auto scaling and job clusters

3. Design & Solution Engineering

  • Contribute to low and mid level architecture and design
  • Translate high level architecture into detailed technical designs
  • Define data models, pipeline patterns, and reusable components
  • Ensure solutions are scalable, maintainable, and production ready

4. Performance Optimization & Simplification

  • Analyze, improve Spark job performance and simplify complex or over engineered pipelines into standardized, efficient patterns

5. Engineering Standards & Best Practices

  • Follow and contribute to Databricks and Spark engineering standards
  • Write clean, modular, and testable code
  • Contribute to shared frameworks, reusable libraries, and quality standards

6. Collaboration & Stakeholder Engagement

  • Work closely with senior architects, platform teams, and DevOps engineers
  • Provide technical inputs, troubleshooting support, and implementation guidance
  • Participate in design discussions and technical decision making

7. Testing & Quality Assurance

  • Develop unit, integration, and data validation tests
  • Support production releases and post deployment validation

Qualifications:

Core Technical Skills

  • 11+ years in data engineering or distributed systems
  • Strong expertise in Apache Spark (JavaSpark / PySpark), Databricks on AWS, and Delta Lake
  • Experience on SQL
  • Experience with AWS services and large‑scale distributed data processing

Modernization & Optimization Experience

  • Experience modernizing or refactoring legacy data platforms into cloud‑based architectures
  • Strong background in Spark performance tuning and large‑scale batch optimization

Design Capability

  • Ability to translate architecture into implementable designs
  • Understanding of data modeling and pipeline orchestration patterns

Behavioral Competencies

  • Strong problem‑solving mindset for complex distributed systems
  • Comfortable working in time‑bound, high‑impact environments
  • Proactive, accountable, and collaborative
  • Clear communication skills across global teams

Education:

  • Bachelor’s degree/University degree or equivalent experience

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

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

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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.

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.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Frequently Asked Questions

What are the eligibility criteria for the Senior Data Engineer - Apache Spark and SQL - Vice President job at Citi Bank?

Eligibility typically includes the qualifications and experience outlined in the job description above, with around 0-5 Years years of relevant experience expected for this role.

What are the primary responsibilities of a Senior Data Engineer - Apache Spark and SQL - Vice President at Citi Bank?

The key responsibilities for this role are detailed in the Key Responsibilities section above, covering the core duties expected of a Senior Data Engineer - Apache Spark and SQL - Vice President at Citi Bank.

Is prior experience required for this position?

This role requires around 0-5 Years years of relevant experience, as specified in the job listing. Please refer to the Qualifications & Experience section above for full details.

What skills are important for this role?

Skills relevant to this position are outlined in the Qualifications & Experience section above. In general, strong communication, domain knowledge, and the ability to meet role-specific targets are valued across similar BFSI positions.

How do I apply for the Senior Data Engineer - Apache Spark and SQL - Vice President role at Citi Bank?

You can apply directly using the Apply Now button on this page, which will take you to Citi Bank's application process for this role.