Senior Databricks Data Engineer - Assistant Manager

State Street; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

State Street is seeking a Sr. Databricks Data Engineer to design and implement high-throughput data pipelines in near real time. You will work on Databricks SQL and Scala/PySpark to build streaming, event-driven and batch ingestion, while optimizing performance and resource usage.

You will collaborate across teams, drive POCs, and take ownership of the full software development lifecycle, including design, coding, testing, deployment, and documentation. Experience in financial services is valued.

Qualifications

• Bachelor’s degree in a computer/IT field.
• 7+ years IT experience.
• 5+ years Data Engineering experience with large datasets.
• 5+ years Databricks hands-on experience (SQL & Scala/PySpark).
• 5+ years cloud-based development using Azure/AWS.

Responsibilities

• Design and develop high-throughput data pipelines using Databricks.
• Drive change through collaboration and POCs.
• Build end-to-end data ingestion pipelines (streaming, events, batch).
• Develop and deploy scalable ETL pipelines on cloud-based infra (Databricks SQL, Scala/PySpark).
• Optimize Databricks jobs including query optimization and scaling.
• Participate in all SDLC phases including design, coding, testing, deployment, and documentation.

Skills

Databricks SQL

Scala/PySpark

DevOps

Azure services

Data engineering pipeline

Education

Bachelor’s Degree in Computer or IT

Tools

Azure

AWS

Databricks

Job description

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

• 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.

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Job ID: R-798017