Design, develop, and implement data pipelines, data integration, and data storage solutions
Partner closely with IT Managers, Enterprise Business Intelligence, Data Governance, and Data Science teams
Lead the design and build of scalable data pipelines and solutions (batch and/or streaming)
Analyze complex data elements and systems, data flow and develop conceptual, logical, and physical data models
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Collaborate in implementing components of data strategy – Master Data Management (MDM), data virtualization etc.

Requirements

Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field required
Minimum 6 years of experience in a data integration (Cloud/Traditional) engineering related role required
Expertise with database & data warehouse design, using MS-SQL, PostgreSQL etc.
Knowledge of Model and Design of DB schemas for read and write performance
Working knowledge of API or stream-based data extraction processes
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Working knowledge of multiple data management domains such as data modeling, integration, warehousing, data quality, security, and governance.
Data architecture or data engineering related certification strongly desired.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data pipelinesdata integrationdata storage solutionsdatabase designdata warehouse designMS-SQLPostgreSQLAPIdata modelingdata quality

Soft Skills

collaborationleadershipanalytical skillsproblem-solving

Certifications

data architecture certificationdata engineering certification