What are the responsibilities and job description for the Senior/Lead Data Engineer (Azure Databricks) - Fulltime Role position at Saransh Inc?
Role: Senior/Lead Data Engineer (Azure Databricks)
Location: Alpharetta, GA (Onsite)
Job Type: Full Time
Description
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.
- 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.
- 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.
