drjobs Lead Software Engineer - Data Engineer

Lead Software Engineer - Data Engineer

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1 Vacancy
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Job Location drjobs

Bengaluru - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Description

Intro Marketing Language
Join us for an exciting opportunity to lead and innovate in data engineering enhancing your career in a dynamic environment.

Job Summary
As a Data Engineering VP at JPMorgan Chase within the strategic PNA Data platform you will be responsible for leading the technical delivery. Your role will involve designing and implementing a cloud-native data platform to support Finance Planning and Analysis across more than 50 markets. You will also collaborate with cross-functional teams to build a robust data platform and manage the development infrastructure of the platform.

Job Responsibilities

  • Lead the design and implementation of a cloud-native PNA Data platform.
  • Develop and maintain robust ETL processes for data integration.
  • Collaborate with various teams to support data platform capabilities.
  • Manage platform development infrastructure and support users.
  • Design strategies for effective data lake utilization.
  • Leverage ETL tools and DevOps practices for platform engineering.
  • Ensure high-quality software delivery and platform stability.

Required Qualifications Capabilities and Skills

  • Formal training or certification in software engineering concepts with 5 years of applied experience.
  • Strong hands-on experience in Python SQL and database development.
  • Proficiency in cloud platforms (AWS ) and containerization technologies like Docker and Kubernetes.
  • Solid understanding of data structures caching multithreading and asynchronous communication.
  • Strong collaboration skills and experience in leading teams.

Preferred Qualifications Capabilities and Skills

  • Experience with Databricks and data orchestrator tools like Airflow.
  • Familiarity with data governance and metadata management.
  • Exposure to No-SQL databases like MongoDB.
  • Experience with messaging technologies like Kafka Kinesis.


Employment Type

Full-Time

Company Industry

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