Mogi I/O : OTT/Podcast/Short Video Apps for you
Senior ETL Developer
Mogi I/O : OTT/Podcast/Short Video Apps for you, Roswell, Georgia, United States, 30076
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.
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 modelling (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
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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.
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 modelling (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