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Lead Data Engineer - Databricks Job Opening In Columbus – Now Hiring JPMorgan Chase & Co.


Job description

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 Technology - FINTECH team, 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 applied experience
  • 3+ years of experience using technologies such as Databricks , Pyspark, AWS, is essential and creating ETL Pipeline from scratch is a must.
  • 3+ years of experience working with AWS (Lambda, Step Function, SQS, SNS, API Gateway, secrets manager and storage services) is a must.
  • 3+ years of experience in software engineering and object-oriented programming skills with expertise in Python and Terraform 
  • Hands on experience with open-source frameworks/libraries, such as Apache NiFi, Apache Airflow and Autosys.
  • Strong understanding of REST API development using FASTAPI or equivalent frameworks.
  • Advanced at SQL (., joins and aggregations)
  • Preferred qualifications, capabilities, and skills
  • Familiar with development tools such as Jenkins, Jira, Git/Stash, spinnaker
  • Familiarity with unit testing frameworks such as pytest or unittest.
  • Extensive experience in statistical data analysis, with the ability to select appropriate tools and identify data patterns for effective analysis, as well as experience throughout the data lifecycle
  • Required Skill Profession

    Computer Occupations


    • Job Details

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