Lead Data Engineer

JobID: 210501544

Category: Data Engineering

JobSchedule: Full time

Posted Date: 2024-04-25T11:55:42+00:00

JobShift: Variable

Base Pay/Salary: Jersey City, NJ $137,750.00-$185,000.00; New York, NY $137,750.00-$185,000.00; Seattle,WA $137,750.00-$185,000.00

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.

As a Lead Data Engineer at JPMorgan Chase within the Corporate Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithms

• Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way

• Implements database back-up, recovery, and archiving strategy

• Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision

• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience

• Working experience with both relational and NoSQL databases

• Experience across the data lifecycle

• Experience with Batch and Real time Data processing with Spark or Flink

• Working knowledge of AWS Glue and EMR usage for Data processing

• Experience working with Databricks

• Experience working with Python/Java, PySpark etc.

• Experience presenting and delivering visual data

Preferred qualifications, capabilities, and skills

• Advanced experience with SQL (e.g., joins and aggregations)

• Advanced understanding of database back-up, recovery, and archiving strategies

• Advanced knowledge of linear algebra, statistics, and geometrical algorithms