Azure Data Engineer - Lead (Need local to Atlanta GA)

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - term contract

Skills

Data Lake
Snowflake
Azure Data Engineer
Data factory

Job Details

Hello Everyone,

Hope you are doing good!!!!

My name is Pavan and I work with SPAR Information System., I have a great opportunity for you, please find the job details below, if you are interested in applying please send me your updated resume and best time for you to discuss about this opportunity in details.

Role: Lead Data engineer

Location : Atlanta , GA - Hybrid

Duration: Long term contract

UST is looking for a Lead Data engineer with expertise in Azure (Databricks, ADF, Key Vault, Blob Storage) and Snowflake to help build scalable data infrastructures and pipelines.

Requirements
6-8 years of experience in building and maintaining data pipeline architecture.
Expertise in Azure technologies (Databricks, ADF, Key Vault, Blob Storage) and Snowflake.
Lead the design, development, and optimization of data pipelines and infrastructure.
Drive the adoption of best practices in data engineering, including coding standards, quality assurance and data governance
Collaborate with stakeholders to deliver scalable and cost-effective solutions.
Mentor and guide junior team members to ensure continuous learning and growth.
Experience assembling extensive, complex data sets that meet both functional and non-functional business requirements.
Proven track record in building analytics tools to derive insights into customer acquisition, operational efficiency, and business performance metrics.
Ability to collaborate with data and analytics experts to enhance system functionality.
Local to Atlanta (3 days in office required)

Key Responsibilities:
Build and optimize data pipelines for seamless ETL (Extract, Transform, Load) from diverse data sources.
Automate processes, optimize data delivery and redesign infrastructure for scalability.
Develop analytics tools that provide actionable insights for business performance.
Work cross-functionally with teams to ensure data systems are optimized for maximum impact.

DE Skill Matrix

Azure

Snowflake

SQL Server (Stored Procs, SQL's, etc.)

ETL

AWS (Hadoop, Postgres SQL)

Streaming Platforms (Kafka)

CI/CD

Thanks & Regards,

Pavan Raikhelkar

LEAD TALENT ACQUISITION SPECIALIST

Direct Number:-

Fax :

Email:

Website:

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