SQL Data Engineer.

Key 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, GCP, SAP, Teradata, Hadoop\Hive, PostgreSQL, Oracle and flat files.
Identifying ways to improve data reliability, efficiency and quality by various data solution techniques.
Expertise in GCP and BigQuery data transformation and View/assets creation.
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.

Key Requirements and Technology Experience:

Key Skills: SQL, T-SQL, Alteryx.
5+ years of SQL Server development experience.
3+ years in GCP BigQuery with DataFlow, Data Form, DataStudio and Looker.
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 or GCP BQ.
2+ years big data experience, Hadoop, Hive, Spark
Expert knowledge of data warehousing.