Senior Data Engineer

3 days ago

Irving, Texas, United States Citigroup Inc Full time

Citigroup Inc. is seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing and developing Big Data solutions using next-generation data techniques. You will work closely with business users and technologists to exchange information about solutions, including requirements and usage information.

Responsibilities:

  • Design and develop Big Data solutions using next-generation data techniques
  • Partner with domain experts, product managers, analysts, and data scientists to develop Big Data pipelines in Hadoop or Snowflake
  • Responsible for delivering data as a service framework
  • Move all legacy workloads to cloud platform
  • Work with data scientists to build client pipelines using heterogeneous sources and provide engineering services for data science applications
  • Ensure automation through CI/CD across platforms both in cloud and on-premises
  • Research and assess open-source technologies and components to recommend and integrate into the design and implementation
  • Be the technical expert and mentor other team members on Big Data and Cloud Tech stacks
  • Define needs around maintainability, testability, performance, security, quality, and usability for data platform
  • Drive implementation, consistent patterns, reusable components, and coding standards for data engineering processes
  • Convert SAS-based pipelines into languages like PySpark, Scala to execute on Hadoop and non-Hadoop ecosystems
  • Tune Big Data applications on Hadoop and non-Hadoop platforms for optimal performance

Qualifications:

  • 8+ years of experience in Hadoop/Big Data technologies
  • 3+ years of experience in Spark
  • 2+ years of experience in Snowflake
  • 2+ years of experience working on Google or AWS cloud developing data solutions
  • Certifications preferred
  • Hands-on experience with Python/Pyspark/Scala and basic libraries for machine learning is required
  • Experience with containerization and related technologies (e.g., Docker, Kubernetes)
  • Experience with all aspects of DevOps (source control, continuous integration, deployments, etc.)
  • 1 year Hadoop administration experience preferred
  • 1+ year of SAS experience preferred
  • Comprehensive knowledge of the principles of software engineering and data analytics
  • Advanced knowledge of the Hadoop ecosystem and Big Data technologies
  • Hands-on experience with the Hadoop ecosystem (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr)
  • Knowledge of agile (Scrum) development methodology is a plus
  • Strong development/automation skills
  • Proficient in programming in Java or Python with prior Apache Beam/Spark experience a plus
  • System-level understanding - Data structures, algorithms, distributed storage & compute
  • Can-do attitude on solving complex business problems, good interpersonal and teamwork skills

Education:

  • Bachelor's degree/University degree or equivalent experience

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

Applicants must be authorized to work in the U.S. Citi will not sponsor applicants for U.S. work authorization for this position.

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