Drive scope definition, requirements analysis, data and technical design, pipeline build, product configuration, unit testing, and production deployment
Design scalable ingestion processes to bring on-prem, API drive, 3rd party, end user generated data sources to integrate in common cloud infrastructure
Design reusable assets, components, standards, frameworks, and processes to accelerate and facilitate data integration projects
Develop data integration and transformation jobs using Python, SQL and ETL /ELT tools
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Build processes supporting data transformation, data structures, metadata, dependency and workload management
Develop and implement scripts for data process maintenance, monitoring, and performance tuning
Test and document data processes through data validation and verification procedures
Ensure delivered solutions meet/perform to technical and functional/non-functional requirements
Provide technical guidance and mentorship to junior engineers, ensuring best practices in data engineering

Requirements

Bachelor's Degree in Computer Science or related field
Typically requires 5 years of experience in at least two IT disciplines, including database management, cloud engineering, data engineering and middleware technologies
Includes 2 years of work experience with cloud platforms, including experience with data integration, performance optimization, and platform administration
Experience defining, designing, and developing solutions with data integration platforms/tools
Proven experience building and optimizing data pipelines, and data sets
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
Must have experience in data transformation and data pipeline development using GUI based tools or programming languages like SQL and Python
Proficiency in Python and SQL for scripting and building data transformation processes is preferred
Must have experience with DevOps tool chains and processes

Benefits

Paid Time Off programs
Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability
Flexible Spending Accounts for eligible health care and dependent care expenses
Family benefits such as adoption assistance and paid parental leave
Defined contribution retirement plans with employer match and other financial wellness programs
Educational Assistance Program

Applicant Tracking System Keywords

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

Hard Skills & Tools

PythonSQLETLELTdata integrationdata transformationdata pipeline developmentdata validationperformance tuningdatabase management

Soft Skills

technical guidancementorshipbest practices

Certifications

Bachelor's Degree in Computer Science