Big Data (Python/Scala) Engineer -Assistant Vice President

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

Responsibilities:

• Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, andestablishand implement new or revised applications systems and programs to meet specific business needs or user areas

• Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users

• Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement

• Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality

• Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install andassistcustomer exposure systems

• Ensure essential procedures are followed and help define operating standards and processes

• Serve as advisor or coach to new orlower levelanalysts

• Has the ability to operate with a limited level of direct supervision.

• Can exercise independence of judgement and autonomy.

• Acts as SME to senior stakeholdersand /or other team members.

• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 5-8 years of relevant experience

• In-depth understanding of HDFS architecture, data storage, and fault tolerance mechanisms. Experience with HDFS commands and administration.

• Solid understanding of YARN resource management and job scheduling.

• Fundamental understanding of MapReduce programming paradigm, even if primary development is in Spark/Flink.Knowledge of Zookeeper for distributed coordination services.

• StrongproficiencyinSpark Core, Spark SQL, Spark Streaming, and SparkGraphX(beneficial).Expert-level programming skills inScala, specifically for developing Spark applications.

•  Experience with Spark performance optimization techniques (e.g., caching, partitioning, shuffle optimizations, memory management).Familiarity with deploying Spark applications on YARN, Mesos, or Kubernetes.

• Advancedproficiencyin writing complex HiveQL queries for data analysis and ETL processes.Understanding of Hivemetastore, execution engines (MapReduce, Tez, Spark), and storage formats (ORC, Parquet, Avro).Experience inoptimizingHive queries and table designs for performance.

• Strong object-oriented and functional programming skills.Experience with Scala build tools (SBT, Maven).Knowledge of common Scala libraries and frameworks.

• Experience withPySparkfor data processing.Familiarity with data manipulation libraries (Pandas, NumPy).Scripting for automation and data orchestration.

• Complex query writing, subqueries, window functions, and performance tuning.HBase (for real-time access to large datasets within Hadoop).Cassandra, MongoDB, or similar.Familiarity with RDBMS concepts and SQL for data integration.

• Understanding of dimensional modeling, fact and dimension tables, star/snowflake schemas.

• Data Ingestion Tools:Apache Sqoop,Apache Flume,Kafka

• Workflow Orchestration:Apache Oozie,Apache Airflow

• Experience with AWS (EMR, S3, Glue, Lambda), Azure (HDInsight, Data Lake, Databricks), or Google Cloud Platform (Dataproc,BigQuery).

Tools and Methodologies

• Version Control: Git (GitHub, GitLab, Bitbucket).

• CI/CD: Experience with Jenkins, GitLab CI, Azure DevOps, or similar tools.

• Monitoring and Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus.

• Agile Development: Familiarity with Agile/Scrum methodologies.

• Shell Scripting:For automation and system administration tasks.

Education:

• Bachelor’s degree/University degree or equivalent experience