Security Services Data Modelling and Engineering - Senior Associate
J.P. Morgan is hiring a Data Engineer within their Securities Services team to build scalable data solutions for AI transformation. The role involves designing data pipelines, modeling, and ensuring high-quality data integration. Candidates will work with Databricks, Python, and Spark to support business insights and AI enablement. The position is based in Bengaluru and requires a strong background in data engineering and collaboration with cross-functional stakeholders.
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Experience
Experience not specified
Function
Engineering
Work mode
Onsite, India
Company
Tier 1
What you will work on
J.P. Morgan is hiring a Data Engineer within their Securities Services team to build scalable data solutions for AI transformation. The role involves designing data pipelines, modeling, and ensuring high-quality data integration. Candidates will work with Databricks, Python, and Spark to support business insights and AI enablement. The position is based in Bengaluru and requires a strong background in data engineering and collaboration with cross-functional stakeholders.
TAL's take
Strong Tier-1 institution offering a well-defined Data Engineering role focused on AI transformation and data infrastructure.
The JD clearly defines the technical stack, team context (Securities Services Data Modelling and Engineering), and daily responsibilities.
Must haves
- Experience developing data pipelines and ETL workflows
- Hands-on expertise with Databricks, Python, and Spark
- Strong understanding of data modelling and architecture
- Commitment to data quality, validation, and governance practices
- Ability to collaborate with cross-functional stakeholders
- Bachelor's degree in a relevant field
Tools and skills
Nice to have: cloud-based data platforms, data cataloguing, ai/ml initiatives.
About the company
J.P. Morgan is a global leader in investment banking and a tier 1 financial institution.
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