Design and implement data models using Databricks, Data Cloud, and Data Lake.
Minimum 5 years in a leadership role.
Collaborate with cross-functional teams to integrate Microsoft Fabric with existing systems.
Work on cloud-based data storage and retrieval solutions using GCP and BigQuery.
Experience with Azure DevOps, Git, Power BI, GCP Console, Data Flow and Dataproc.
Provide technical guidance and support to junior engineers on data engineering best practices.
Job Requirements :
Experience working with Databricks, Data Cloud, Data Lake, Data Integration, Data Vault, and Cloud technologies is preferred.
Strong skills in Spark SQL, Python programming language, and data modeling are desirable.
Familiarity with GCP, BigQuery, and Microsoft Fabric is a plus.
A strong understanding of big data concepts and data engineering principles is required.
Excellent problem-solving skills and the ability to work collaboratively in a team environment are essential.
Minimum of 15 years of experience in the field of data engineering is required.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full time