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Citi Logo Citi · IT - Software Development

Senior Data Engineer (ETL/Big Data/Python) - Assistant Vice President

India, Chennai · Job Posted June 29, 2026
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Job Description

CITI Bank Enterprise Analytical Services organization is seeking a highly skilled and experienced Lead Developer for the Reporting Framework. This critical framework is essential for collecting and analyzing utilization metrics from our Analytical Services Platforms, automating billing and chargeback processes, and developing insightful dashboards. The ideal candidate will be a technical leader with a strong background in data analytics & visualization, ETL design, and performance optimization. As the Lead Developer, you will be a key driver of the reporting framework's success, responsible for its design, development, and maintenance. You will play a pivotal role in shaping our data reporting capabilities and providing crucial business intelligence to stakeholders.

Job Responsibility

  • Design, develop, and implement ETL based reporting framework, focusing on data collection, transformation, and presentation
  • Utilize a robust technology stack including Databricks, Spark, Hive, Ozone, and Hadoop to process large volumes of data efficiently
  • Write and optimize complex ETL jobs using PySpark and advanced Python scripting
  • Design and manage data storage in various databases, including Oracle, MongoDB and Snowflake for flexible data models
  • Develop and maintain automated job schedules using Autosys, Apache Airflow for seamless data pipeline execution
  • Ability to develop visualization reporting dashboards
  • Able to leverage enterprise approved productivity tools like Copilot, etc., in daily analysis & development tasks
  • Act as the technical subject matter expert (SME) for the reporting framework, providing guidance and mentorship to the development team
  • Lead requirements gathering discussions with business stakeholders and product owners to understand reporting needs and translate them into technical solutions
  • Coordinate closely with the QA team to ensure thorough testing and data validation, maintaining high standards of data accuracy and integrity
  • Collaborate with other development teams and data engineers to ensure data sources are integrated correctly and efficiently
  • Design the framework with an 'ETL design mindset,' focusing on modularity, scalability, and maintainability
  • Proactively identify and resolve performance bottlenecks in data pipelines and queries
  • Ensure the framework's code is optimized for high performance and low latency
  • Apply advanced scripting for automation, system administration, and data management tasks
  • Timely analyze and resolve user issues and incidents related to the reporting framework as a development SME
  • Conduct root cause analysis for production issues and implement strategic resolution
  • Participate in code reviews to ensure code quality, best practices, and security standards are met

Requirements

  • Bachelor's degree in Computer Science, Information Technology, or a related field
  • 8+ years of experience in data engineering, software development, or a similar role, with at least 2 years in a lead capacity
  • Proven experience with ETL pipeline design and development
  • Expert proficiency in Python and Spark
  • Strong experience with advanced scripting
  • Deep knowledge of relational databases (Oracle) and NoSQL databases (MongoDB), Snowflake
  • Solid understanding of data modeling, data warehousing, and performance tuning
  • Experience with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI, GitHub Actions)
  • Experience with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, ELK Stack, Splunk, Datadog)
  • Excellent problem-solving and analytical skills, with a keen eye for detail
  • Strong communication and leadership skills, with the ability to manage and mentor a team
  • Proactive and self-driven, with a strong commitment to delivering high-quality, reliable solutions
  • Ability to thrive in a fast-paced, collaborative, and results-oriented environment

Nice to have

  • Familiarity with Databricks, data visualization tools and dashboard development
  • Experience with IaC tools (e.g., Terraform, Ansible, CloudFormation)
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