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Data Engineer Lead

1 month ago

Quincy, Massachusetts, United States State Street Bank Full time
Job Title: Data Engineer Lead - Sr. Position

We are seeking a highly skilled Data Engineer Lead to join our team at State Street Bank. As a key member of our Global Technology Services (GTS) team, you will play a critical role in driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies.

Key Responsibilities:

  • Design, develop, and maintain data pipelines in Azure for ingesting, transforming, and loading data from various sources into centralized Azure data lakes and Databricks Delta Lake.
  • Ensure data quality and integrity throughout the process.
  • Implement efficient ELT/ETL processes to ensure data quality, consistency, and reliability.
  • Develop transformation processes to clean, aggregate, and enrich raw data, ensuring it is in the appropriate format for downstream analysis and consumption.
  • Integrate data from diverse sources to provide a unified view of information.
  • Design and implement efficient data models and database schemas that support the storage and retrieval of structured and unstructured data.
  • Optimize data storage and access for performance and scalability.
  • Implement knowledge of modern data processing principles to streamline data import/transformation processes.
  • Leverage modern data pipeline tools to reduce human attention during ETL process.
  • Ensure the efficiency and reliability of data ingestion and processing.
  • Work closely with cross-functional teams to understand data requirements and translate them into technical solutions.
  • Monitor data pipelines, troubleshoot issues, and ensure data integrity and security.
  • Implement data quality controls and validation processes to identify and rectify data anomalies, inconsistencies, and errors.
  • Collaborate with stakeholders to define and enforce data governance standards and policies.
  • Identify performance bottlenecks in data pipelines and database systems and optimize queries, data structures, and infrastructure configurations to improve overall system performance and scalability.
  • Implement appropriate security measures to protect sensitive data and ensure compliance with data privacy regulations.
  • Monitor and address data security vulnerabilities and risks.
  • Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver effective data solutions.
  • Document data engineering processes, data flows, and system configurations.
  • Stay updated with the latest trends, tools, and technologies in the field of data engineering.
  • Proactively identify opportunities to improve data engineering practices and contribute to the evolution of data infrastructure.
  • Provide support to the development team with managing multiple instances of databases and servers, implementing complex queries with proper tuning, provide input to design impacting data, manage data infrastructure in Azure (DataLake, DataWarehouse and Synapse).

Requirements:

  • Hands-on experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database, etc.
  • Strong experience in data engineering, including data pipeline development, ETL/ELT processes, and data modeling.
  • Strong proficiency in SQL and experience with programming languages such as Scala, or Java.
  • In-depth knowledge of SQL and experience with relational and non-relational databases such as Snowflake, SQLServer, Oracle.
  • Knowledge of data warehousing concepts, dimensional modeling, and best practices.
  • Experience working in a multi-developer environment, using version control (i.e. Git).
  • Excellent problem-solving skills and ability to work independently as well as part of a team.
  • Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect is a plus.
  • Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
  • Bachelor's Degree level qualification in a computer or IT related subject.
  • 10+ years of overall IT industry experience.
  • 8+ years of overall Bigdata data pipeline experience.
  • 8+ years of experience as a Data Engineer, with a focus on designing and implementing data solutions on the Azure Databricks.
  • 8+ years of experience on cloud-based development including Azure Services, Azure Devops, Kubernetes, Docker.
  • Experience on Snowflake is plus.

About State Street:

State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

What We Value:

We truly believe our employees' diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.

Salary Range: $120,000 - $202,500 Annual

Location: Quincy, Massachusetts

Type: Full time