Senior Associate Data Engineering

Company description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Employer:

Sapient Corporation

Job Title:

Senior Associate Data Engineering

Job Requisition: .6

Job Location:

384 Northyards Blvd. NW, Atlanta, GA 30313. Will work from company office Atlanta, GA and various unanticipated client sites and Sapient offices nationally;
Telecommuting available on a hybrid basis at company discretion.

Job Type: Full Time

Rate of Pay: $ to $ per year

Duties:
Write scripts and troubleshoot for performance using relevant programming languages. Build test automation framework for existing data ingestion code. Work with large data sets, real-time/near real-time analytics, on distributed big data platforms. Work on data engineering functions including, but not limited to Data Extract, transformation, loading and integration in support of data warehouse. Data ingestion, validation, and enrichment pipeline design and implementation.

Build performance testing framework for existing data ingestion pipelines. Involved in implementing Transaction History Batch processing on a daily/weekly schedule. Develop and Implement ETL jobs using AWS Glue to extract, transform, and load data from various sources. Demonstrable experience in data platforms involving implementation of end-to-end data pipelines. Experience in data modelling, warehouse design and fact/dimension implementations. Experience working with code repositories and continuous integration.

Data modelling, querying, and optimization for relational, No

SQL, time series, data warehouses and data lakes. Experience in implementing data pipelines for both streaming and batch integrations.

#LI-DNI

Will work from company office Atlanta, GA and various unanticipated client sites and Sapient offices nationally;
Telecommuting available on a hybrid basis at company discretion.