Design, develop, optimize, and maintain data architecture and pipelines adhering to ETL principles
Collaborate with data engineers and other team members to create functional and elegant data solutions
Advise and mentor other data professionals on data standards and practices
Required Qualifications
7+ years of relevant data engineering experience
Deep technical knowledge of Databricks, Python, and Microsoft Azure architecture
Hands-on experience with various data pipelines and databases
Experience in developing batch ETL pipelines and knowledge of advanced data engineering concepts
Thorough knowledge of SQL Server, including T-SQL and stored procedures
Average salary estimate
$125000
/ YEARLY (est.)
min
max
$100000K
$150000K
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