Mogi I/O : OTT/Podcast/Short Video Apps for you
Principal Data Engineer
Mogi I/O : OTT/Podcast/Short Video Apps for you, Atlanta, Georgia, United States, 30383
Location: Alpharetta, Georgia
Experience required: 3 15 Years
Compensation: USD 82,000 - 123,000
Visa Status: US Citizens, Green Card holders
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.
Required Skills
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)
Expertise in 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.
Preferred Skills
CI/CD using Azure DevOps, Git. IaC tools (Terraform/ARM). Azure Purview or other data governance tools. Experience supporting ML or BI workloads on Databricks.
Benefits
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
#J-18808-Ljbffr
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.
Required Skills
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)
Expertise in 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.
Preferred Skills
CI/CD using Azure DevOps, Git. IaC tools (Terraform/ARM). Azure Purview or other data governance tools. Experience supporting ML or BI workloads on Databricks.
Benefits
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
#J-18808-Ljbffr