Citi is looking for a Senior Big Data Engineer to design, build, and optimize large-scale data pipelines and distributed data systems that power critical business intelligence across the organization. Based in Pune and operating in a hybrid model, you will work within a high-performing engineering team where your expertise in PySpark, the Hadoop ecosystem, and streaming data platforms will directly shape the reliability and performance of Citi's data infrastructure.
Responsibilities
- Build and maintain scalable data pipelines using PySpark within a Big Data environment to process and transform large volumes of structured and unstructured data.
- Design and develop solutions across the Hadoop ecosystem — including Hive, HDFS, Sqoop, Spark, Impala, and Scala — to enable efficient data ingestion, processing, and storage.
- Develop and manage real-time and batch data workflows using streaming data platforms, ensuring high availability and low-latency data delivery.
- Write complex SQL queries to extract, validate, and analyze data across distributed systems, supporting data-driven decision-making.
- Design and implement data models and data architecture patterns aligned with data warehouse principles, ensuring scalability, accuracy, and consistency.
- Automate pipeline scheduling and orchestration using shell scripting and Autosys, reducing manual intervention and improving operational reliability.
- Independently identify, assess, and resolve technical risks and data issues in a timely manner, maintaining system integrity across the data platform.
Required Qualifications & Skills
- 4 -7 years of relevant experience.
- Hands-on expertise in PySpark and Big Data processing, with the ability to build and optimize distributed data workflows at scale.
- Practical knowledge of the Hadoop ecosystem, including Hive, HDFS, Sqoop, Spark, Impala, and Scala, applied in a production environment.
- Proficiency in complex SQL query development for data analysis, transformation, and validation across large datasets.
- Solid understanding of distributed systems architecture and how data flows across interconnected processing layers.
- Demonstrated knowledge of data modelling and data design, with familiarity in data warehouse concepts and dimensional modelling techniques.
- Competence in shell scripting and job scheduling using Autosys or equivalent workflow automation tools.
- Strong analytical and problem-solving ability, with a track record of working independently to diagnose and resolve complex data engineering challenges.
- Clear and effective communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
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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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Skills Required
- 4-7 years of relevant experience
- Hands-on expertise in PySpark and Big Data processing
- Practical knowledge of Hadoop ecosystem including Hive, HDFS, Sqoop, Spark, Impala, and Scala
- Proficiency in complex SQL query development
- Solid understanding of distributed systems architecture
- Knowledge of data modelling, data design, and data warehouse/dimensional modelling concepts
- Competence in shell scripting and job scheduling using Autosys or equivalent
- Strong analytical and problem-solving ability with independence in diagnosing issues
- Clear and effective communication skills for technical and non-technical audiences
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
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