Sr Cloud Data engineer - Business Intelligence

Company

Federal Reserve Bank of San Francisco

We are the Federal Reserve Bank of San Francisco—public servants with a mission to advance the nation’s monetary, financial, and payment systems to build a stronger economy for all Americans. We are a community-engaged bank, and are committed to understanding and serving the vibrant, expansive communities of the Twelfth District. We respect people for what they do and for who they are. We build opportunities to learn and grow. We empower our people to balance their life and work responsibilities. That’s why we offer a flexible hybrid work model that allows you to collaborate with office colleagues on some days, and work from home on others.

The Federal Reserve Bank of San Francisco is looking for a Lead Cloud Data Engineer to join the Data and Analytics Service (DAS) Team. We are a team based out of San Francisco that partners with business lines across the Federal Reserve System to deliver the cloud + big data solutions and advanced analytics products.

The successful candidate will design, implement, and manage cloud-based data and AI solutions, ensuring scalable, secure, and repeatable data pipelines. The ideal candidate will have a strong background in data engineering, cloud infrastructure, scripting languages, and excellent analytical and communication skills.

Essential Responsibilities:

• Contributes to the design, development, testing, implementation, and review of complex data warehouse and business intelligence solutions.

• Develops all or part of complex data warehouse applications, develops software from established requirements, builds reports and dashboards, plans and coordinates work with fellow programmers to meet delivery commitments, creates prototypes; offers insight on the feasibility of system designs.

• Contributes to the design of technology infrastructure and configurations, recommends process improvements.

• Reviews complex patches and new versions of data warehouse applications. Implements complex software packages and deploys code.

• Key participant in cross-functional team initiatives and process improvement projects

• Designs, develops, modifies, tests, and automates the data warehouse and business intelligence applications solutions. This includes design, development, architecture recommendations, quality management, metadata and repository creation, trouble-shooting problems, and tuning warehouse applications.

• Develops transition and implementation plans. Recommends changes in development, maintenance, and standards.

• Advanced analytical ability and technical skill as well as the ability to provide innovative solutions to technical needs and business requirements.

• Acute attention to detail with a high level of data integrity and accuracy

• Ability to translate highly technical information into non-technical terms.

• Excellent computer skills including Microsoft Office along with various other software applications as needed for the role.

• Broad knowledge of the programming tools, concepts, practices, and principles including design, implementation, and testing

• Position requires continuous visual concentration and manual dexterity to operate PC

Qualifications:

• 5 to 9+ years of experience in data engineering, data science, and software engineering.

• Bachelor’s degree in computer science, Information Systems, or another related field

• Must be a US Citizen or a Green Card holder.

• xpert in developing and analyzing complex SQL on a variety of RDBMS (Microsoft SQL Server, Oracle)

• Expert knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases

• Experience with ETL tools (Informatica)

• Excellent writing skills for writing user and system documentation

• AWS Cloud Data Warehousing Technologies

• Experience using core AWS services to build and support data warehouse solutions leveraging AWS architecture best practices (S3, DMS, Glue, Lambda)

• Development/modeling experience with Amazon Redshift, Amazon Aurora Postgres SQL

• Experience using the AWS service APIs, AWS CLI, and SDKs to build applications.

• Proficiency in developing, deploying, and debugging cloud-based applications using AWS.

• Ability to use a CI/CD pipeline to deploy applications on AWS (GitLab, Terraform, DBMaestro)

• Ability to write code using AWS security best practices (e.g., not using secret and access keys in the code, instead using IAM roles)

• Ability to author, maintain, and debug code modules on AWS.

• Experience with