Security Services Data Modelling and Engineering - Analyst (DADA04)

Posted 16 Hours Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Entry level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Build and optimize scalable data pipelines, transformation workflows, data models, and reusable datasets on Databricks using Python and Spark. Implement data quality checks, testing, validation, documentation, and governance processes. Collaborate with Data Architects and Business Analysts to deliver compliant, reliable data products supporting business insights, performance tracking, and AI enablement.
Summary Generated by Built In

 

Make your mark building trusted data products on Databricks—grow your engineering skills while enabling insights and AI solutions across Securities Services.

As a Data Engineer in the Securities Services Data Modelling and Engineering team within AI Transformation, you will build the data foundation that powers business insights, objectives and key results tracking, and AI enablement across JPMorganChase’s Securities Services businesses. You will design and develop scalable data pipelines and reusable datasets on Databricks using Python and Spark. You will collaborate with Data Architects and Business Analysts to deliver high-quality, compliant, and business-driven solutions.

Job Responsibilities:

  • Design, build, and optimize data pipelines and transformation workflows on Databricks using Python and Spark.
  • Collaborate with Data Architects and Business Analysts to develop robust data models aligned to business needs.
  • Document data flows, extract-transform-load logic, and transformation rules to a high standard.
  • Implement data quality checks and validation modules using Python.
  • Execute testing and validation processes to support accurate and reliable datasets.
  • Track work and progress in Jira to maintain transparency and accountability.
  • Register datasets and pipelines in relevant catalogues and consoles in line with governance and privacy standards.

Required qualifications, skills, and capabilities:

  • Proven experience developing data pipelines and solutions on Databricks.
  • Proficiency in Python for data transformation, including libraries such as pandas.
  • Understanding of extract-transform-load concepts, data modelling, and pipeline design.
  • Experience using Spark.
  • Experience with cloud data platforms.
  • Ability to document data flows and transformation logic clearly and consistently.
  • Experience using Jira for project tracking.
  • Ability to collaborate effectively with Data Architects and Business Analysts.
  • Strong communication skills.

Preferred qualifications, skills, and capabilities:

  • Experience in financial services or large enterprise data environments.
  • Knowledge of data governance, privacy, and compliance requirements.
  • Exposure to business analysis and requirements gathering.
About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About the TeamJ.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

Skills Required

  • Proven experience developing data pipelines and solutions on Databricks
  • Proficiency in Python for data transformation, including pandas
  • Understanding of ETL concepts, data modeling, and pipeline design
  • Experience using Spark
  • Experience with cloud data platforms
  • Ability to document data flows and transformation logic clearly and consistently
  • Experience using Jira for project tracking
  • Ability to collaborate effectively with Data Architects and Business Analysts
  • Strong communication skills
  • Experience in financial services or large enterprise data environments
  • Knowledge of data governance, privacy, and compliance requirements
  • Exposure to business analysis and requirements gathering

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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