Senior Data Lead Engineer - VP - IRVING

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.

Citi’s Mission and Value Proposition explain what we do and Strategy explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve.

Responsibilities:

This Senior Data Lead Engineer role is responsible for the delivery of Data Quality rules which includes: 

• Work as a tech lead in the team and provide guidance and engineering best practice.

• Lead team to brainstorm and delivery technical solutions and sql queries.

• CI/CD experience

• Able to work with managers to come up with technology roadmap.

• Code & development and enhance SQL Queries. 

• Release the SQL to UAT testing and Prod; Job scheduling and running.

• Production support - job monitoring and SQL error debugging.

• Inspiring team and knowledge sharing and trainings on data engineering, pipeline build.

• Ad_hoc python script creation.

• Hosting meetings and present tech demos.

• Discovery of new technical challenges that can be solved with existing and emerging Big Data hardware and software solutions.

• Assisting and support analyst team on technical solutions.

• Understands the SQLs syntax/functions across different analytic engine/platform, responsible to convert Starburst/impala SQL to SparkSQL by referring spark documents and provide optimal query.

• Works with team members to ensure efforts within owned tracks of work will meet their needs.

• Communication and documentation.

Qualifications:

• 8+ years Working experiences with Starburst/TRINO, Impala, Hive, SparkSQL.

• Good knowledge with Hadoop environment and distribution system.

• Strong data analysis, data evaluation and problem-solving skills

• Proficiency in SQL and debugging is crucial.

• Must have strong programming skill in writing Python, Pyspark, Scala, hands on data pipeline building.

• Must worked in CI/CD and GIT.

• Java Angular java spring boot experience is preferred

• Identify and troubleshoot data issues and provide timely resolution.

• Great communication skills to explain technical to non tech team member.

• Great skills to understand business requirement and convert into tech requirement with action steps.

• Domain knowledge of data quality/data entitlement is a plus.

• Agile experience. 

Education:

• Bachelor's/University degree, Master's degree preferred

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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Job Family Group:

Data Governance

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Job Family:

Data Quality & Data Quality Analytics and Reporting

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