Data Engineer

Responsibilities:

Create and maintain optimal data pipeline using SQL technologies.

Cleaning, organizing, and translating raw data into actionable business insights, which are further used to make data driven decisions.

Assemble large, complex datasets that meet functional requirements.

Engage with stakeholders including Product, business owner and data source SME to assist/resolve technical/ data related issues.

Work with SMEs to learn about new source systems and build/ enhance data assets. 

Work with SDLC and testing teams to support documentational and test activities.

Perform code review and unit testing. 

Coordinate with other technology teams and business units to craft the right solutions and keep strategies aligned.

Skills:

Knowledgeable about the SAP equipment, maintenance, Process order, work order, Batch module back end tables. Familiar with the logic and extracting information from these tables.

Proven working experience as a Data Analyst.

Technical expertise in data modeling, create data pipeline using Trino SQL, DBT.

Basic Knowledge in AWS S3, Jenkins as CI/CD and Apache Airflow, GitHub.

Familiarity with Jira and Scrum principles. 

Required languages: English is mandatory.

Engagement Length: 6 months with potential extension