State Street
financial industry
Sr.DatabricksDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Databricks Data Engineer at State Street. Skills: Databricks, DataBricks SQL, Scala, PySpark, Data engineering pipeline, DevOps pipelines, Azure services. 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), data integration, data curation”
Industry & Context.
critical thinking; problem-solving skills; impact analysis; root cause analysis
Onsite 4 days a week in office and one day remote
What They're Looking For.
Must Have
7+ years of overall IT experience, 5+ years of Data Engineering experience handling large datasets, 3+ years of Databricks hands-on experience using SQL & Scala/PySpark, 3+ years of experience on cloud-based development using Azure/AWS, Communicate effectively in a professional manner both written and orally, Team player with a positive attitude, enthusiasm, initiative and self-motivation, Ability to multi-task, meet aggressive timelines and have work ethics
Nice to Have
Experience of working in the financial industry, Experience in collaborating with team members, users and stakeholders across geographical locations, Experience with agile development methodology
What You'll Do.
Design & develop custom high throughput and configurable data pipelines using DataBricks
build and test end to end data ingestion pipelines (streaming
and deploy scalable ETL pipelines on cloud-based infrastructure using Databricks SQL & Scala/PySpark
Optimize and tune Databricks job performance
including query optimization
and scaling strategies
Responsible for all aspects of the software development lifecycle
How You'll Work.
Team & Collaboration
Ability to drive change through collaboration, influence and demonstration of POCs; Experience in collaborating with team members, users and stakeholders across geographical locations
Communication Scope
Communicate effectively in a professional manner both written and orally; communication
Process & Methodology
agile development methodology
Full 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. * 3+ years of Databricks hands-on experience using SQL & Scala/PySpark. * 3+ years of experience
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