Data Engineer - Securities Services

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

JPMorganChase in Bengaluru, India seeks a Security Services Data Modelling and Engineering Analyst to design and build scalable data pipelines on Databricks using Python and Spark. You will collaborate with Data Architects and Business Analysts to deliver compliant, high-quality data solutions across Securities Services.

The role emphasizes data modeling, ETL development, and strong documentation, with governance and privacy standards guiding the work.

Qualifications

• 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 and cloud data platforms.
• Ability to document data flows and transformation logic clearly.
• Experience using Jira for project tracking.
• Ability to collaborate with Data Architects and Business Analysts.
• Strong communication skills.

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.

Skills

Databricks

Python

Pandas

ETL concepts

Spark

Cloud data platforms

Jira

Data modeling

Communication

Tools

Databricks

Jira

Job description

Security Services Data Modelling and Engineering - Analyst (DADA04) 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.

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.