hirly

State Street

Data Engineer - Manager

Bangalore, India

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at State Street first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.4M live jobs from 200,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family
Data & ML
Seniority
Lead / management
Country
IN
Work mode
On-site / unstated
First seen by hirly
27 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Role: Data Engineer

Role Summary

State Street Investment Management is seeking a Data Engineer with strong expertise in Python, Apache Spark, Databricks, and AWS to support cloud‑based data engineering initiatives. The role focuses on building and maintaining scalable batch ETL pipelines and well‑structured data models to support analytics and reporting platforms.

Key Responsibilities

  • Design and develop batch ETL pipelines using Python and Apache Spark
  • Build and optimize data solutions on Databricks (AWS)
  • Develop and maintain SQL‑based transformations and data validation logic
  • Implement efficient data models to support downstream analytics
  • Ensure data quality, performance, and reliability in cloud data platforms
  • Collaborate with analysts and technology teams to deliver data solutions

Required Experience

  • 7-9 years of experience in data engineering
  • Strong experience with cloud data engineering and big data technologies
  • Solid understanding of data warehousing and data modeling concepts
  • Experience working in large enterprise environments (financial services preferred)

Must‑Have Skills

  • Python
  • Apache Spark
  • Databricks on AWS
  • SQL
  • Data Warehousing

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

Read our CEO Statement

Original posting on State Street's site ↗

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job