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Engaged Employer

JPMorgan Chase & Co.

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4.0

based on 6k Reviews

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

Top Rated Mega Company - 2024

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660 JPMorgan Chase & Co. Jobs

Data Engineer III

JPMorgan Chase

4.0

based on 6k Reviews

3-8 years

Bangalore / Bengaluru

1 vacancy

Data Engineer III

JPMorgan Chase & Co.

posted 5d ago

Job Role Insights

Flexible timing

Key skills for the job

Python SQL GCP Data Governance Data Modeling Web Technologies

+ 3 more

Job Description

Are you ready to elevate your career in data engineering? Join our dynamic team at Chase UK, where your expertise will shape the future of our data lake and drive impactful business decisions. We offer unparalleled opportunities for career growth in a collaborative environment where you can thrive and contribute to meaningful projects.

As a Data Engineer III at JPMorgan Chase within the Chase UK team, you will design and implement scalable data solutions, focusing on the ingestion and transformation stages. You will leverage modern technologies to tackle unique challenges and work on projects with broad impact. Your role will involve collaborating with cross-functional teams to ensure data quality and availability, while fostering a culture of innovation and excellence.

Job Responsibilities

Design and implement complex, scalable solutions to process data and ensure timely availability for querying.
Develop reusable frameworks, prioritizing quality and long-term sustainability.
Thrive in a challenging environment and provide hands-on contributions across various projects.
Participate in regular code reviews to maintain code quality and adhere to best practices.

Required Qualifications, Capabilities, and Skills

Formal training or certification on Python programming concepts and 3+ years applied experience.
Extensive development experience using SQL.
Hands-on experience with MPP databases such as Redshift, BigQuery, or Snowflake, and modern transformation/query engines like Spark, Flink, Trino.
Familiarity with workflow management tools (eg, Airflow) and/or dbt for transformations.
Comprehensive understanding of modern data platforms, including data governance and observability.
Experience with cloud platforms (AWS, GCP, Azure).
Self-starter capable of delivering production-ready solutions with minimal supervision.
Strong SDLC practices, viewing data engineering as a software engineering discipline.
Solid theoretical fundamentals in topics such as database internals, distributed systems, and design patterns.

Preferred Qualifications, Capabilities, and Skills