Google Cloud Platform Data Engineer

Position: Google Cloud Platform Data Engineer

Primary Location: Atlanta, GA (ONSITE)

Employment Type: Contract

MUST HAVE Google Cloud Platform CERTIFICATION

Job Description

As a Senior Data Engineer will have the opportunity to design and execute vital projects such as re-platforming our data services on Cloud and on-prem and delivering real-time streaming capabilities to our business applications. This position will bring a clear point of view on data processing optimization, data modeling, data pipeline architecture, data SLA management. The Senior Data Engineer holds accountability for the quality, usability, and performance of the solutions. Our mission is design & implement a data and analytics platform/infrastructure that enables a future-state analytics lifecycle, data monetization opportunities, data acquisition, analysis & feature engineering, model training, impact analysis, reporting, predictive and quantitative analysis, & monitoring.

Responsibilities:
• Data acquisition and ingestion - Identify data sources and build pipelines using various ETL tools such as but not limited to, SSIS, and Alteryx. Data sources including but not limited to SQL Server, SAP, Teradata, Google Cloud Platform BQ, PostgreSQL, Oracle and flat files.
• Identifying ways to improve data reliability, efficiency and quality by various data solution techniques.
• Expertise in Alteryx Admin /User management experience , advance workflow management with proper roles and security.
• Assist in defining the data architecture framework, standards and principles, including modeling, metadata, security and reference data.
• Create and optimize data models to support various business applications.
• Reviewing modifications of existing data systems for cross-compatibility.
• Automate and support workflows to ensure timely delivery.

Must Have
• 5+ years of SQL Server development experience.
• 3+ years ALTERYX Admin /User management experience and advance workflow management.
• 5+ years data modeling experience.
• 5+ years of ETL experience.
• 5+ years of experience in working on more than one database technologies Microsoft SQL server, Teradata, Google Cloud Platform BQ
• 2+ years big data experience, Google Cloud Platform BQ
• Expert knowledge of data warehousing.
DESIRED SKILLS
• BI Lifecycle management
• Working understanding of Microsoft VBA, HTML, Python
• Data model development using Looker