Role: Senior/Lead Data Engineer (Azure Databricks)
Location: Alpharetta GA (Onsite)
Job Type: Full Time
Description:
- Looking for an experienced Senior/Lead Data Engineer with 8 years of expertise in designing and delivering scalable high-performing data solutions on the Azure ecosystem.
- The ideal candidate will have deep hands-on experience with Databricks Spark modern data lakehouse architectures data modelling and both batch and real-time data processing.
- You will be responsible for driving end-to-end data engineering initiatives influencing architectural decisions and ensuring robust high-quality data pipelines.
Experience and Qualifications (Required):
- 8 years of hands-on data engineering experience in enterprise environments.
- Strong expertise in Azure services especially Azure Databricks Functions and Azure Data Factory (preferred).
- Advanced proficiency in Apache Spark with Python (PySpark).
- Strong command over SQL query optimization and performance tuning.
- Deep understanding of ETL/ELT methodologies data pipelines and scheduling/orchestration.
- Hands-on experience with Delta Lake (ACID transactions optimization schema evolution).
- Strong experience in data modelling (normalized dimensional lakehouse modelling).
- Experience in both batch processing and real-time/streaming data (Kafka Event Hub or similar).
- Solid understanding of data architecture principles distributed systems and cloud-native design patterns.
Preferred:
- Experience with CI/CD tools such as Azure DevOps and Git.
- Familiarity with IaC tools (Terraform ARM).
- Exposure to data governance and cataloging tools (Azure Purview).
- Experience supporting machine learning or BI workloads on Databricks.
Note: Visa Independent candidates are highly preferred
Role: Senior/Lead Data Engineer (Azure Databricks) Location: Alpharetta GA (Onsite) Job Type: Full Time Description: Looking for an experienced Senior/Lead Data Engineer with 8 years of expertise in designing and delivering scalable high-performing data solutions on the Azure ecosystem. The i...
Role: Senior/Lead Data Engineer (Azure Databricks)
Location: Alpharetta GA (Onsite)
Job Type: Full Time
Description:
- Looking for an experienced Senior/Lead Data Engineer with 8 years of expertise in designing and delivering scalable high-performing data solutions on the Azure ecosystem.
- The ideal candidate will have deep hands-on experience with Databricks Spark modern data lakehouse architectures data modelling and both batch and real-time data processing.
- You will be responsible for driving end-to-end data engineering initiatives influencing architectural decisions and ensuring robust high-quality data pipelines.
Experience and Qualifications (Required):
- 8 years of hands-on data engineering experience in enterprise environments.
- Strong expertise in Azure services especially Azure Databricks Functions and Azure Data Factory (preferred).
- Advanced proficiency in Apache Spark with Python (PySpark).
- Strong command over SQL query optimization and performance tuning.
- Deep understanding of ETL/ELT methodologies data pipelines and scheduling/orchestration.
- Hands-on experience with Delta Lake (ACID transactions optimization schema evolution).
- Strong experience in data modelling (normalized dimensional lakehouse modelling).
- Experience in both batch processing and real-time/streaming data (Kafka Event Hub or similar).
- Solid understanding of data architecture principles distributed systems and cloud-native design patterns.
Preferred:
- Experience with CI/CD tools such as Azure DevOps and Git.
- Familiarity with IaC tools (Terraform ARM).
- Exposure to data governance and cataloging tools (Azure Purview).
- Experience supporting machine learning or BI workloads on Databricks.
Note: Visa Independent candidates are highly preferred
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