Citi Group Senior Data Engineer - C13 IRVING 

United States, Texas, Irving 

186559472

Responsibilities:

• Design, develop, and maintain scalable and efficient data pipelines using Big Data technologies (e.g., Hadoop, Spark, Kafka, Hive, Parquet, Avro) to ingest, process, and transform large volumes of structured and unstructured data.

• Implement and optimize ETL/ELT processes for data ingestion, cleansing, transformation, and loading into data warehouses, data lakes, and other data stores.

• Integrates subject matter and industry expertise within a defined area.

• Applies in-depth understanding of how data engineering and analytics collectively integrate within the sub-function as well as coordinates and contributes to the objectives of the entire function.

• Build and maintain data pipelines outcomes as data federations layers for lambda and Data Mesh architecture using tools like Starburst with strategy for adopting AI and NLP techniques-based use cases to drive efficiency and reduce data copies (e.g., machine learning, deep learning, natural language processing) to extract insights, automate processes, and enhance decision-making.

• Develop and deploy microservices-based architectures to support data-intensive applications and ensure scalability, resilience, and maintainability.

• Collaborate with data scientists, business analysts, and other stakeholders to understand data requirements, design appropriate solutions, and deliver value-added insights.

• Mentor and guide junior team members, fostering a culture of knowledge sharing and technical excellence.

• Ensure data quality, integrity, and security throughout the data lifecycle.

• Contribute to the continuous improvement of data engineering processes, standards, and best practices.

• Effectively communicate technical concepts and solutions to both technical and non-technical audiences.

• 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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Qualifications:

• Minimum 6+ years overall experience in a Big Data or Enterprise large scale Apps development using scalable tools like Data bricks, Scala, Java and python ecosystem.

• Minimum 3+ years of proven experience in a Data Engineering lead role with a strong focus on Big Data, data federation and data extractions data mesh architecture

• Deep understanding of data modeling, data warehousing concepts, methodologies, and best practices.

• Expertise in designing, building, and maintaining data pipelines using Big Data technologies such as Hadoop, Spark, Hive, Kafka, and related ecosystems.

• Proficiency in at least one programming language commonly used for data engineering, such as Python, Java, or Scala.

• Hands-on experience with ETL/ELT tools and Microservices frameworks.

• Practical experience in applying AI/ML and NLP techniques to solve real-world problems.

• Familiarity with microservices architecture and containerization technologies (e.g., Docker, Kubernetes).

• Strong SQL skills and experience with relational databases.

• Experience with NoSQL databases is a plus.

• Excellent communication, collaboration, and problem-solving skills.

• Ability to work independently and as part of a team.

• Passion for data and technology with a strong desire to learn and grow.

Education:

• Bachelor’s degree in computer science & engineering, or a related field.

• Master's degree is a plus.

Preferred Qualifications:

• Experience with cloud-based Big Data platforms (e.g., AWS, Azure, GCP).

• Experience in working on data engineering on Bank Retail products – Cards, Mortgage, Deposits and wealth domain exposure

• Certifications in relevant technologies (e.g., AWS Certified Big Data - Specialty, Azure Data Engineer Associate).

• Contributions to open-source projects or participation in data engineering communities.

• Demonstrated leadership and project management skills

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Anticipated Posting Close Date:

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