Data Engineer

Data Engineer:

The Data Engineer is responsible for building Data Engineering Solutions using next generation data techniques. The individual will be working with tech leads, product owners, customers and technologists to deliver data products/solutions in a collaborative and agile environment.

Responsibilities:

• Responsible for design and development of big data solutions. Partner with domain experts, product managers, analyst, and data scientists to develop Big Data pipelines in Hadoop
• Responsible for moving all legacy workloads to cloud platform
• Work with data scientist 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
• 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
• Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinates and contributes to the objectives of the entire function.
• Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/taken.
• 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:

• 3+ years of total IT experience
• 1+ years of experience with Hadoop (Cloudera)/big data technologies
• Knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr) 
• Experience on designing and developing Data Pipelines for Data Ingestion or Transformation using Java or Scala or Python.
• Experience with Spark programming (pyspark or scala or java)
• Hands-on experience with Python/Pyspark/Scala and basic libraries for machine learning is required;
• 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