What are the responsibilities and job description for the Azure data engineer position at Smart IT Frame LLC?
We are hiring!
My name is Kathiresan, and I'm with Smart IT Frame LLC.
Please find the job description below. If you're interested, I would appreciate it if you could share your updated resume with me.
Role: Senior/ Lead Data Engineer
Location: Alpharetta, GA
Type: Full-time
Job Description:
We are 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.
Key requirements:
- 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.
Preferred Skills:
- 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