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Senior Lead Data Engineer

JPMorgan Chase & Co.

JPMorgan Chase & Co.

Data Science
Hyderabad, Telangana, India
Posted on Tuesday, June 4, 2024

Job Description

Description for Internal & External Candidates:

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 world’s largest and most influential companies.

As a Senior Observability and Resiliency Engineer at JPMorgan Chase within the Consumer & Community Banking, 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 recommendations and insight on data management, governance procedures, and intricacies applicable to the acquisition, maintenance, validation, and utilization of data​​
  • Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
  • Build and support Lake house model enabling thousands of analysts and data scientists
  • Build and support scalable fine grain access controls across various platforms
  • Support data consumption on the data lake by enabling various bi tools on cloud
  • Build Observability & alerting setup for logs, traces and metrics
  • Evaluates and reports on access control processes to determine effectiveness of data asset security​
  • Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills:

  • Formal training or certification on software engineering Applications Support concepts and 5+ years of applied experience
  • Working experience with both relational and NoSQL databases​
  • Advanced understanding of database back-up, recovery, and archiving strategies
  • Advanced knowledge of linear algebra, statistics, and geometrical algorithms
  • Experience presenting and delivering visual data
  • 5+ years of experience supporting big data platforms(cloud+on-premise)
  • Working experience in setting up observability dashboards
  • Working experience with AWS data stack, EMR/Glue/Lake Formation/Athena
  • Working experience with Big data, Spark
  • Working experience with bi tools
  • Strong Java/python development experience
  • Experience building API’s is a plus
  • Experience with Terraform is a plus

Preferred qualifications, capabilities, and skills:

  • AWS, Grafana, Splunk, Dynatrace, Datadog