132
π JPMorgan Chase Data Engineering Job Alerts 2025 | Apply Now!
JPMorgan Chase is inviting applications for the role of Product Delivery Associate β Data Engineering at its Hyderabad, Telangana location. This is an excellent opportunity to join one of the worldβs most prestigious financial institutions and work on data solutions that power AI/ML, personalization, and analytics.
π’ Company Details
- Company: JPMorgan Chase
- Job Role: Product Delivery Associate β Data Engineering
- Business Unit: Consumer & Community Banking
- Job Category: Product Portfolio & Delivery
- Job ID: 210665061
- Location: Hyderabad, Telangana, India
- Employment Type: Full-Time
- Salary: As per Company Standards
π Eligibility Criteria
- Education:
Bachelorβs degree in Computer Science, IT, or related field - Experience:
Experience in data engineering, data transformation, and modeling is preferred.
π Required Skills
- SQL Expertise: Proficiency in SQL & understanding of SQL database concepts.
- Data Tools: Experience with Databricks, dbt Labs, and real-time data pipelines.
- Data Engineering Skills: Structured data ingestion, transformation, and consumption for analytics or ML.
- Visualization: Knowledge of Adobe Analytics, Google Analytics, Tableau.
- Soft Skills: Strong communication, problem-solving, and multitasking abilities.
- Bonus Skills: Familiarity with Customer Data Platforms, ETL design, and product development life cycle.
π Roles & Responsibilities
- Perform data analysis using SQL to extract patterns and insights.
- Build and validate real-time data pipelines and data enrichment processes.
- Create ETL logic to transform and clean data for business consumption.
- Partner with cross-functional teams to deliver robust and scalable data solutions.
- Develop data visualizations using analytics tools to support decision-making.
- Ensure data accuracy, create documentation, and host presentations/trainings.
π Why Join JPMorgan Chase?
- Work on cutting-edge data engineering projects impacting millions of customers.
- Be part of a global leader in banking and financial services with 200+ years of history.
- Opportunity to grow in AI/ML, personalization, and analytics domains.
- Collaborative work culture and continuous skill development.
π Application Process
π Apply Here: Click Here To Apply
π’ Note: Apply soon β shortlisted candidates will be contacted for the next steps.
π‘ Learn Data Engineering, Data Science & AI from Top Industry Experts β Unlock opportunities with 500+ elite hiring partners and get placed in top MNCs!
