BFSI Azure Technical Lead (Lead Azure Data Engineer)
MDA Edge - Oakland, California, United States, 94616
Work at MDA Edge
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Overview
Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google This range is provided by MDA Edge. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range
$67.00/hr - $67.00/hr Job Overview:
We are looking for a skilled
Azure Technical Lead (Lead Azure Data Engineer)
with strong experience in building scalable data pipelines using Azure Data Factory and Azure Databricks. The ideal candidate will have a solid background in data engineering, particularly in migrating traditional ETL workloads to modern ELT architectures on the cloud. You will work directly with client stakeholders and must be comfortable operating in overlapping U.S. business hours.
Key Responsibilities: Design, develop, and maintain
Azure Data Factory (ADF)
pipelines and
Azure Databricks (ADB)
notebooks using
PySpark . Migrate legacy RDBMS/ETL workloads into modern
Data Lake/ELT
architectures on Azure. Analyze, design, and implement scalable solutions involving
Azure Data Lake
and data marts. Collaborate directly with business and technical stakeholders to gather requirements and deliver solutions. Ensure best practices in performance, security, and DevOps for data pipeline development. Must-Have Skills:
Proven expertise in
Azure Data Engineering
tools:
Azure Data Factory (ADF) Azure Databricks (ADB) Azure Data Lake Storage Gen2 Azure SQL DB Azure DevOps Key Vault, Storage Accounts
Strong hands-on experience with
PySpark
and
PL/SQL Experience migrating traditional ETL workloads to
cloud-based ELT/data lake architectures Desirable Skills:
Experience with
DataStage
and
SQL Server Strong communication and collaboration skills Ability to work in a
client-facing role
with overlapping
U.S. time zone
availability Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
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