Sr. Databricks Data Engineer - Assistant Manager
State Street · Hyderabad, Telangana, India
Financial Services · 10,001+ employees
About the role
Design and develop high-throughput, scalable data pipelines and Lakehouse solutions using Databricks, SQL, and Scala/PySpark. Responsible for the full software development lifecycle, including performance tuning, troubleshooting, and maintenance of cloud-based ETL processes.
What they look for
Requirements
Requires a Bachelor's degree and over 7 years of IT experience, with at least 5 years specializing in Databricks and cloud platforms like Azure or AWS. Candidates must have strong expertise in handling large datasets and experience within the financial industry.
Benefits
Full 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.
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