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MDA Edge

BFSI Azure Technical Lead (Lead Azure Data Engineer)

MDA Edge, Oakland, California, United States, 94616

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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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