Lead Data Engineer Vice President

Description

The Lead Data Engineer is responsible for building Data Engineering Solutions using next generation data techniques. The individual will be working directly with 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 or Snowflake Responsible for delivering data as a service framework
• 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
• Ability to 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
• Evaluate new IT developments and evolving business requirements and recommend appropriate systems alternatives and / or enhancements to current systems by analyzing business processes, systems and industry standards.
• 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.
• Supervise day-to-day staff management issues, including resource management, work allocation, mentoring / coaching and other duties and functions as assigned
• 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 :

Education :

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

Job Family Group : Technology

Job Family : Data Science

Time Type : Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and / or contact the recruiter.