Senior/Lead Data Engineer
Listed on 2026-02-16
-
IT/Tech
Data Engineer, Data Science Manager
Location & Citizenship
Location - Alpharetta
Required Citizenship / Work Permit / Visa Status
US Citizens, green card holder
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. Ability to design end-to-end solutions, evaluate trade-offs, and recommend best-fit architectures. Strong analytical, problem-solving, and communication skills. Ability to collaborate with cross-functional teams and lead technical discussions.
Skills
:
Java, Python, Spark
Notice period - 0 to 15 days only
Job stability is mandatory
What You Need- 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.
- Ability to design end-to-end solutions, evaluate trade-offs, and recommend best-fit architectures.
- Strong analytical, problem-solving, and communication skills.
- Ability to collaborate with cross-functional teams and lead technical discussions.
- Experience with CI/CD tools such as Azure Dev Ops 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.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).