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Senior Databricks Data Engineer - Assistant Manager

Hyderabad, India

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Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Apply at State Street

What you’ll work on

Full posting
  • Design and build high-throughput data pipelines on Databricks

  • Build end-to-end ingestion pipelines for streaming, event and batch data

  • Develop and deploy cloud-based ETL pipelines with Databricks SQL and Scala/PySpark

  • Optimize Databricks job performance, queries and scaling

  • Investigate data and environment issues through root cause analysis and fixes

From the employer’s posting
Design & develop custom high throughput and configurable data pipelines using DataBricks.
Design, build and test end to end data ingestion pipelines (streaming, events, and batch)
Design, develop, and deploy scalable ETL pipelines on cloud-based infrastructure using Databricks SQL & Scala/PySpark.
Optimize and tune Databricks job performance, including query optimization, resource management, and scaling strategies
Address data issues, environment issues, performing impact analysis, root cause analysis, corrective, adaptive and perfective maintenance
Education & alternatives
Education & Preferred Qualifications Bachelor’s Degree level qualification in a computer or IT related subject. 7+ years of overall IT experience.

Tools in this posting

  • Scala
  • SQL
  • AWS
  • Azure
  • Databricks
  • PySpark
Source — Tool mentions in context
Design, build and test end to end data ingestion pipelines (streaming, events, and batch), data integration, data curation. Design, develop, and deploy scalable ETL pipelines on cloud-based infrastructure using Databricks SQL & Scala/PySpark. Optimize and tune Databricks job performance, including query optimization, resource management, and scaling strategies
These skills will help you succeed in this role Strong hands-on on Databricks SQL & Scala/PySpark - Data engineering pipeline. Strong hand-on experience in troubleshooting DevOps pipelines and Azure services
5+ years of Data Engineering experience handling large datasets. 5+ years of Databricks hands-on experience using SQL & Scala/PySpark. 5+ years of experience on cloud-based development using Azure/AWS.
5+ years of Databricks hands-on experience using SQL & Scala/PySpark. 5+ years of experience on cloud-based development using Azure/AWS. Additional requirements
Strong hands-on on Databricks SQL & Scala/PySpark - Data engineering pipeline. Strong hand-on experience in troubleshooting DevOps pipelines and Azure services Expertise on end-to-end data solutioning for building Data Lakehouse using Databricks.
Experience with Micro Services - API/Event Driven Architecture/Development Strong hands-on experience in troubleshooting DevOps pipelines and Azure services Strong critical thinking, communication, and problem-solving skills.
Who we are looking for We are looking for a Sr. Databricks Data Engineer with hands-on development experience on DataBricks to process high volume of data in near real time for State Street Global Technology Services What you will be responsible for
What you will be responsible for As Sr. Databricks Data Engineer you will Design & develop custom high throughput and configurable data pipelines using DataBricks.
As Sr. Databricks Data Engineer you will Design & develop custom high throughput and configurable data pipelines using DataBricks. Ability to drive change through collaboration, influence and demonstration of POCs
Design, develop, and deploy scalable ETL pipelines on cloud-based infrastructure using Databricks SQL & Scala/PySpark. Optimize and tune Databricks job performance, including query optimization, resource management, and scaling strategies Address data issues, environment issues, performing impact analysis, root cause analysis, corrective, adaptive and perfective maintenance
Strong hand-on experience in troubleshooting DevOps pipelines and Azure services Expertise on end-to-end data solutioning for building Data Lakehouse using Databricks. Experience with Micro Services - API/Event Driven Architecture/Development

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability.

In the employer’s words · Read in context

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Live
First seen by us
Sep 17, 2026 · 31 days ago
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Last seen by us
Oct 18, 2026

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Job description

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Job Description

Job Description

Who we are looking for

We are looking for a Sr. Databricks Data Engineer with hands-on development experience on DataBricks to process high volume of data in near real time for State Street Global Technology Services

What you will be responsible for

As Sr. Databricks Data Engineer you will

Design & develop custom high throughput and configurable data pipelines using DataBricks.

Ability to drive change through collaboration, influence and demonstration of POCs

Design, build and test end to end data ingestion pipelines (streaming, events, and batch), data integration, data curation.

Design, develop, and deploy scalable ETL pipelines on cloud-based infrastructure using Databricks SQL & Scala/PySpark.

Optimize and tune Databricks job performance, including query optimization, resource management, and scaling strategies

Address data issues, environment issues, performing impact analysis, root cause analysis, corrective, adaptive and perfective maintenance

Responsible for all aspects of the software development lifecycle, including design, coding, integration testing, deployment, and documentation

What we value

These skills will help you succeed in this role

Strong hands-on on Databricks SQL & Scala/PySpark - Data engineering pipeline.

Strong hand-on experience in troubleshooting DevOps pipelines and Azure services

Expertise on end-to-end data solutioning for building Data Lakehouse using Databricks.

Experience with Micro Services - API/Event Driven Architecture/Development

Strong hands-on experience in troubleshooting DevOps pipelines and Azure services

Strong critical thinking, communication, and problem-solving skills.

Education & Preferred Qualifications

Bachelor’s Degree level qualification in a computer or IT related subject.

7+ years of overall IT experience.

5+ years of Data Engineering experience handling large datasets.

5+ years of Databricks hands-on experience using SQL & Scala/PySpark.

5+ years of experience on cloud-based development using Azure/AWS.

Additional requirements

Communicate effectively in a professional manner both written and orally

Team player with a positive attitude, enthusiasm, initiative and self-motivation

Experience of working in the financial industry

Experience in collaborating with team members, users and stakeholders across geographical locations.

Ability to multi-task, meet aggressive timelines and have strong work ethics

Experience with agile development methodology


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


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Location & working pattern

Hyderabad, India

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Work authorization
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

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