Senior Data Engineers

Job summary

Senior Data Engineers Employer Address: 888 Boylston Street, Boston, MA 02199 Job Location: 888 Boylston Street, Boston, MA 02199 Responsibilities: The Senior Data Engineer will design, build and manage data pipelines that power applications and drive business decisions.

Qualifications

• and deliver high-quality data solutions.
• Optimize and tune data pipelines for performance, scalability, and consistency with recommended design patterns.
• Monitor and address data pipeline issues and collaborate with our support teams to ensure timely and accurate data delivery.
• Stay up to date with the latest industry trends in data engineering and financial services, following standard methodologies.
• Employer requires a bachelor's degree in computer science, information technology, or related field plus eight (8) years of progressively more responsible experience as a software engineer with a focus on data.
• In addition, the employer requires the following:
• Expertise to efficiently extract data from databases, CRM systems, and APIs to build maintainable and supportable ETL code using Informatica gained through eight (8) years of work experience;
• Ability to extract data from multiple data sources using Python gained through three (3) years of work experience;
• Expertise in SQL for ETL and data warehousing applications gained through eight (8) years of work experience;
• Proficiency with data warehousing and financial datasets gained through five (5) years of work experience;
• Ability to architect and design data pipeline and data warehouse solutions for the whole software development life cycle gained through five (5) years of work experience; and
• Ability to develop solutions on AWS or other public cloud services gained through five (5) years of work experience.

Responsibilities

• The Senior Data Engineer will design, build and manage data pipelines that power applications and drive business decisions.
• include the following:
• Design, develop, and maintain scalable data pipelines to ingest, process, and transform data from various sales and marketing systems such as Salesforce, Pardot and Adobe Analytics into the enterprise data warehouse.
• Conduct business and systems analysis, design, implementation and the testing of data solutions to meet and exceed the expectations of our business partners and regulators.
• Self-manage projects, participate in strategy and architecture reviews and help shape the direction of data management within the organization.
• Ensure data quality, integrity, and consistency by implementing data validation and cleansing processes.
• Develop strong domain expertise and lead all aspects of the SLAs for those data pipelines
• Collaborate with various teams, including data scientists, analysts, and business partners, to understand data

Skills

Degrees

Industry

Company size