Sr Lead Data Engineer
Sr Lead Data Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Embrace this pivotal role as an essential member of a high performing team dedicated to reaching new heights in data engineering. Your contributions will be instrumental in shaping the future of one of the worlds largest and most influential companies.
As a Sr Lead Data Engineer at JPMorgan Chase within the Corporate Technology you are an integral part of an agile team that works to enhance build and deliver data collection storage access and analytics in a secure stable and scalable way. Leverage your deep technical expertise and problem solving capabilities to drive significant business impact and tackle a diverse array of challenges that span multiple data pipelines data architectures and other data consumers.
Job responsibilities
- Provides recommendationsandinsight on data management governance proceduresandintricacies applicable to the acquisition maintenance validation andutilization of data
- Designs and delivers trusted data collection storage access and analytics data platform solutions in a secure stable and scalable way
- Defines database backuprecovery and archivingstrategy
- Generates advanced data models for one or more teams using firm wide tooling linear algebra statistics and geometrical algorithms
- Approves data analysis toolsandprocesses
- Creates functional andtechnicaldocumentationsupporting bestpractices
- Advises junior engineers and technologists
- Evaluates and reports onaccesscontrol processes todetermineeffectiveness of dataasset security
- Adds to team culture of diversity equity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification on Data Engineering concepts and 5 years applied experience
- Demonstrated leadership abilities including leading and mentoring a team of data engineers.
- Expertise in designing and implementing scalable data architectures and pipelines.
- Strong proficiency in programming languages such as Python and PySpark.
- Experience with AWS cloud platform including their data services.
- Indepth knowledge of data warehousing solutions and ETL processes.
- Ability to work collaboratively with crossfunctional teams including data scientists analysts and business stakeholders.
- Experience with data governance and ensuring data quality and integrity.
- Familiarity with machine learning frameworks and integrating them into data pipelines.
- Excellent communication skills with the ability to convey complex technical concepts to nontechnical audiences.
- Experience with version control systems like Git and CI/CD pipelines for data engineering workflows.
Preferred qualifications capabilities and skills
- Experience with Data bricks
- Proficiency in Big Data technologies with a strong focus on Performance Optimization using best practices
- Solid understanding of the Parquet file format.
Required Experience:
Senior IC
Employment Type
Full-Time
