State Street
State Street
State Street एक वैश्विक वित्तीय सेवा कंपनी है, जो निवेश प्रबंधन और निवेश सेवा समाधानों के माध्यम से संस्थागत निवेशकों को सेवाएँ प्रदान करती है। इसकी सेवाओं में परिसंपत्ति प्रबंधन, कस्टोडियल सेवाएँ और निवेश अनुसंधान शामिल हैं, जिन्हें वित्त, फिनटेक और बैंकिंग के क्षेत्र में विशेषज्ञता का समर्थन प्राप्त है। कंपनी डेटा, अंतर्दृष्टि और परिचालन क्षमताओं के माध्यम से ग्राहकों को जटिल निवेश गतिविधियों का प्रबंधन करने, दक्षता बढ़ाने और वित्तीय निर्णय लेने में सहायता करने पर केंद्रित है।

Senior Databricks Data Engineer, Vice President — State Street (Quincy, Hybrid)

Build Azure and Databricks data pipelines for State Street’s financial services platform. Develop ETL, data quality, and high-throughput frameworks as part of an agile team.

विवरण

  • Build and test end-to-end cloud data pipelines for streaming, event-driven, and batch ingestion using Azure and Cosmos DB.
  • Create ETL processes to ingest, transform, and load data into data lakes.
  • Apply Databricks and data warehousing concepts in engineering work.
  • Create configurable frameworks and libraries designed for high throughput.
  • Advance change by collaborating, influencing stakeholders, and demonstrating proofs of concept.
  • Contribute across the software development lifecycle, from design and coding through integration testing, deployment, and documentation.
  • Collaborate with colleagues on an agile project team.
  • Apply established engineering practices and coding standards.
  • Monitor data pipelines and troubleshoot problems to resolve them.
  • Add data quality checks and validations to maintain accuracy.
  • Analyze data and explore datasets.
  • Continue developing professional skills.

आवश्यकताएँ

  • Bachelor’s degree in computer science, information technology, or a related field.
  • At least 10 years of experience with big data pipelines.
  • At least 5 years of hands-on Databricks experience.
  • At least 5 years developing on cloud platforms, including Azure services, Azure DevOps, Kubernetes, and Docker.
  • Experience with microservices architecture and cloud computing; Azure is preferred.
  • Working proficiency with Databricks, Delta Lake, and Apache Spark.
  • Hands-on Databricks SQL and Scala development experience.
  • Strong understanding of Databricks resources, including clusters and jobs.
  • Substantial hands-on experience troubleshooting DevOps pipelines, including ADO and Harness.
  • Experience with version control tools such as Git.
  • Experience working with semi-structured formats such as Avro, JSON, and XML.
  • Basic familiarity with shell scripting, UNIX, TOAD, and SQL Developer.
  • Strong professional communication skills, written and verbal.
  • Experience in the financial services industry.
  • Experience with agile development methods.
  • Snowflake experience is a plus.

लाभ

  • 401(k) retirement savings plan with company matching.
  • Insurance options including basic life, medical, dental, vision, long-term disability, and other optional coverage.
  • Paid leave covering vacation, sick time, short-term disability, and family care responsibilities.
  • Employee Assistance Program.
  • Eligibility for annual performance-based incentive awards.
  • Eligibility for certain tax-advantaged savings plans.
  • Inclusive opportunities for professional development.
  • Support for work-life flexibility.
  • Paid days for volunteering.
  • Employee networks.

संबंधित नौकरियाँ

Cardinal Health

Data Engineering Manager at Cardinal Health

Cardinal Health

Lead enterprise data transformation teams at Cardinal Health, overseeing Google Cloud platforms and analytics and AI/ML operations. Guide delivery, platform improvements, and talent development.

खोलें
Novartis

Novartis Associate Director, Data Engineering Lead

Novartis

Lead governed data engineering, observability, and enterprise data contracts at Novartis. Build reliable, compliant data foundations for AI-ready products and patient outcomes.

खोलें
EXL
State Street
MSD

MSD Associate Director of Data Engineering and Analytics

MSD

Lead scalable data engineering and analytics for biopharmaceutical manufacturing operations, improving data access and analytics adoption. Support better decisions across regulated science and production teams.

खोलें