Azure Data Engineer

Hello Everyone, Title: Azure Data Engineer Location: Houston, TX (Onsite 4 days a week) Type: Contract-To-Hire (C2H) Visa: USC/GC/H4-EAD/L2/GC-EAD Client prefers candidates in Houston, but Dallas okay if willing to travel. Note: Big focus on Azure Databricks, candidate must be a an Azure Data Engineer with Databricks. Process: 1 Tech Screening, 2 interviews Must Have: · Databricks · Python · SQL · Spark/PySpark · Data warehousing, ETL, modeling fundamentals Overview: Client is building a team to conduct a full-scale Databricks implementation with Priority Power. 3 MDC resources alongside US Solutions Architect: 1 Business/Data Analyst; 2 Data Engineers. Solutions Architect will be responsible for setting up the Databricks environment, starting with the AWS infra/hosting, Databricks workspace (alongside DBX SA), and data migration solution. Engineers will be responsible for building all of the "plumbing" and data ingestion, ETL, modeling. Sr. Engineer: · We are looking for a Senior Engineer with strong Databricks experience and hands-on skills in Python, PySpark, and SQL. · They will be responsible for building data ingestion processes/ETL pipelines to ingest data from various sources into Databricks (bronze layer) · They should have experience in data modeling, transformations and curation of data through medallion architecture. · Needs cloud experience, AWS preferred, to migrate workflows from AWS to Databricks · The Engineers will be more-so responsible for getting the data into Databricks, data curation and transformation within Databricks models; MDC team will bring in Data Engineers with some Power BI experience to mock up a couple reports. · Subsequent phases will be more deeply engaged in the BI aspect and can assess additional resourcing needs at that time.