Data Engineer (Associate/Senior Associate) – Security Services Data Modelli at JPMC Candidate Experience page

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

24 May, 26

Salary

0.0

Posted On

23 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, Python, Spark, Data Pipelines, Data Modelling, ETL, Data Quality, Jira, Data Architects, Business Analysts, Data Flows, Governance, Privacy, Transformation Workflows, Pandas

Industry

Financial Services

Description

Be part of a team that creates the strategic data assets driving business insight, operational excellence, and the next generation of AI solutions. Your work will directly enable the business to answer key questions, track progress on objectives, and unlock new opportunities through data. As a Data Engineer in the Security Services Data Modelling and Engineering Team, you will play a pivotal role in building the data foundation that promotes business insights, OKR tracking, and AI enablement across JPMorgan Chase’s Security Services businesses. You will be responsible for designing and developing scalable data pipelines and reusable datasets on Databricks, working closely with Data Architects and Business Analysts to deliver high-quality, compliant, and business-focused solutions. Job responsibilities Design, build, and optimize data pipelines and transformation workflows on Databricks, leveraging Python and Spark. Collaborate with Data Architects and Business Analysts to develop robust data models and clearly document data flows and ETL logic. Implement and execute data quality checks and validation modules using Python. Maintain transparency and accountability by tracking work and progress in Jira. Ensure datasets and pipelines are accurately registered in relevant catalogues and consoles, meeting governance and privacy standards. Required qualifications, capabilities and skills Proven experience developing data pipelines and solutions on Databricks. Strong proficiency in Python, including libraries for data transformation (e.g., pandas). Solid understanding of ETL concepts, data modelling, and pipeline design. Experience with Spark and cloud data platforms. Ability to document data flows and transformation logic to a high standard. Familiarity with project management tools such as Jira. Collaborative mindset and strong communication skills. Preferred qualifications, capabilities and 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, 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. J.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.

Responsibilities

The role involves designing and developing scalable data pipelines and reusable datasets on Databricks, focusing on building the data foundation for business insights and AI enablement within Security Services. Responsibilities include optimizing workflows using Python and Spark, collaborating on data models, and ensuring data quality and compliance.