Job Description :
Job Title: Data Engineer
Location: Dallas, TX
Duration: Long term contract

(AWS-Glue + Redshift) + (Implementation/Integration, Experience
AWS-Glue + Redshift , Data integration, API implementation,

Role Overview:
Code all the required ETL followed by testing to enable development of EDW from scratch. Participate in technical planning & requirements gathering phases including design, coding, testing, troubleshooting.

Data Engineer :
Experience with Streaming or batch data load ( minimum 2 years)
Programming language experience such as R, Python, Node JS( minimum 1 year)
Dev ops experience ( min 1 year)
Big data & technologies experience
Experience working with AWS Technologies ( minimum 2-3 years)
Experience in automation/configuration management using Puppet, Chef, Ansible, Saltstack, Bosh, Terraform or an equivalent.

Responsibilities :
Responsible for the ingestion, maintenance, improvement, cleaning, and manipulation of data during dev and maintenance phase of the warehouse.
Implements, troubleshoots, and optimize solutions based on modern technologies like Redshift, SQL, AQS, Glue, etc.
Define and build large-scale near real-time streaming data processing pipelines that will enable faster, better, data-informed decision making within the business.
Keep up with industry trends and best practices on new and improved data engineering strategies that will drive departmental performance leading to improvement in overall improvement in data governance across the business, promoting informed decision-making, and ultimately improving overall business performance.

Client : Merican


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