State Street Corporation
Create a free account
One signup unlocks everything for this job:
- Apply to this job and track your application
- See your personalized profile match score
- Generate an AI cover letter for this role
Bengaluru · On-site · 3-6 Yrs · 4 days ago
Investment & Asset Management · 10000+ Employees · Boston, US
Working for State Street in India, you'll support the effective delivery of services to our clients as part of an international operation. As our business continues to grow, we are building a platform that combines local expertise and significant scale to deliver the highest levels of service to clients across the region and beyond. The pace and scope of our operation makes for a challenging yet exciting working environment, where management is open to new ideas and committed to innovation. Flexibility is key as we work to meet the rapidly changing needs of our institutional client base. You'll have multiple opportunities to gain experience in diverse aspects of the investment cycle. The continuous development of our employees is important as we strive to rapidly build our local management team and create future leaders from within.
Hiring: Engineering
What employees say
+ No pros , you might get a good friend if you are lucky
− Overtime work, with no over time pay. Always they provide over work. No social life due to workload. Health issues .
More reviews on the company profile.
Interview experience · Financial Reporting Analyst
My interview experience was good. There were 2-3 panellists and had 2 rounds. First round was purely technical asking about my field of work as well areas from job description. The 2nd round was predominantly questions o
Difficult difficulty · India · 314 reports
More interview insightsJob description
Overview
Senior Associate, Data Engineer
Responsibilities
- Develop and maintain batch and streaming data pipelines using PySpark, Spark SQL, and Databricks.
- Build and support data processing solutions following Bronze/Silver/Gold (multi-hop) architecture patterns.
- Implement and maintain data ingestion pipelines from multiple sources including relational databases, APIs, event streams, and cloud object storage.
- Develop incremental processing, Change Data Capture (CDC), and data transformation workflows.
- Write high-quality, scalable, and maintainable code adhering to engineering standards and best practices.
- Participate in code reviews, testing, deployment, and production support activities.
- Monitor data pipeline performance and assist in troubleshooting, root cause analysis, and issue resolution.
- Support implementation of data quality, metadata, and governance requirements.
Qualifications
- 3-7 years of experience in software engineering, data engineering, or related technical roles.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience).
- Hands-on experience with Databricks, including notebooks, workflows, clusters, and repositories.
- Good understanding of Apache Spark concepts including transformations, joins, partitioning, caching, and performance optimization.
- Proficiency in Python (PySpark) and SQL.
- Familiarity with software engineering practices including version control, testing, CI/CD, and code management.
- Working knowledge of data lake and lakehouse concepts.
- Familiarity with batch, CDC, and streaming ingestion patterns.
- Understanding of cloud storage technologies such as AWS S3 or Azure Data Lake Storage.
- Strong analytical, troubleshooting, and problem-solving skills.
- Ability to work effectively in a collaborative, global team environment.
- Exposure to Apache Iceberg, Delta Lake, Unity Catalog, or similar governance technologies.
- Exposure to data quality, metadata management, and data governance concepts.
- Knowledge of monitoring, observability, and operational support practices for data platforms.
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 17 September 2026
- How do I apply for Data Engineer - Assistant Manager at State Street Corporation?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. State Street Corporation may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer - Assistant Manager role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer - Assistant Manager remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Data Engineer - Assistant Manager role at State Street Corporation?
- This is a mid-level Data Engineer - Assistant Manager role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.