₹10L – ₹25L a year estimatetypical for IT Jobs in India, 835 posts
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Role at a glance
You will
Supports review of controls to ensure sufficient protection of enterprise data
Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation…
Responsible for making configuration and customization changes to generate a product at business or customer requests and advising…
Experience
3+ years
Must-have skills
Data AnalysisData EngineeringSQL
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Job description
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Data Engineer III at JPMorganChase within the [insert LOB or sub LOB], you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
Supports review of controls to ensure sufficient protection of enterprise data
Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
Responsible for making configuration and customization changes to generate a product at business or customer requests and advising colleagues in requests
Updates logical or physical data models based on new use cases
Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations.
Required qualifications, capabilities, and skills
A. Formal training or certification on data engineering concepts and 3+ years applied experience (NAMR/APAC - India/LATAM/Hong Kong) B. Formal training or certification on data engineering concepts and advanced applied experience (EMEA/LATAM-Brazil) C. Singapore follow local country guidance
Experience across the data lifecycle
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements.
Advanced SQL skills (e.g., joins and aggregations) and working understanding of NoSQL databases
Significant experience with statistical data analysis and able to determine appropriate tools and data patterns to perform analysis
Experience customizing changes in tools to generate product outputs
Preferred qualifications, capabilities, and skills
This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.
Questions you may be asked
What is the difference between WHERE and HAVING?
What is the difference between DELETE, TRUNCATE and DROP?
What is the difference between an INNER JOIN and a LEFT JOIN?
What is the difference between a primary key and a unique key?
