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Data Warehouse Engineering Manager
Job in
Decatur, DeKalb County, Georgia, 30089, USA
Listed on 2025-12-15
Listing for:
Mogi I/O : OTT/Podcast/Short Video Apps for you
Full Time
position Listed on 2025-12-15
Job specializations:
-
Software Development
Data Engineer
Job Description & How to Apply Below
Location
:
Alpharetta, Georgia
Experience Required
: 3 – 15 Years
Compensation
: USD 82000 - 123000
Visa Status
: US Citizens, green card holder
About The Role
We are seeking a Senior/Lead Data Engineer with 8+ years of experience building scalable, high-performance data platforms on Azure & Databricks. This role involves end-to-end data engineering, architecture, and leadership across modern data lakehouse environments.
Key Responsibilities- Architect and implement scalable data platforms and pipelines on Azure and Databricks.
- Build and optimize batch & real-time data ingestion and transformation (Spark/PySpark).
- Develop robust ETL/ELT workflows, ensuring reliability and performance.
- Work with ADLS, Delta Lake, and Spark for large-scale processing.
- Design data models (conceptual, logical, physical) for analytics and operational use.
- Collaborate with cross-functional teams to convert requirements into technical solutions.
- Troubleshoot performance issues and support production systems.
- Ensure best practices for data governance, security, quality, and architecture.
- Mentor junior engineers and contribute to engineering standards.
- 8+ years of enterprise data engineering experience.
- Strong hands‑on experience with Azure Databricks, Azure Functions, ADF, Apache Spark (PySpark), SQL & performance tuning, Delta Lake (schema evolution, ACID, optimization), ETL/ELT, distributed systems, and cloud‑native architecture.
- Experience with data modeling (dimensional, normalized, lakehouse).
- Exposure to streaming frameworks (Kafka, Event Hub).
- Strong problem‑solving and technical leadership skills.
- CI/CD using Azure Dev Ops, Git.
- IaC tools (Terraform/ARM).
- Azure Purview or other data governance tools.
- Experience supporting ML or BI workloads on Databricks.
- Medical, dental, vision insurance
- Paid vacation, sick leave, holidays
- Employer‑matched 401(k)
- Life, AD&D, short‑term & long‑term disability
- Eligibility varies by employment type and state law
Mid‑Senior level
Employment TypeFull‑time
Job FunctionInformation Technology
IndustriesSoftware Development
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