Senior/Lead Data Engineer

Delta System & Software, Inc.

Alpharetta (GA)

Hybrid

USD 120,000 - 150,000

Full time

14 days+

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Job summary

A technology solutions company in Alpharetta, GA seeks a Data Engineer with over 8 years of experience. The ideal candidate should have expertise in Azure services, particularly Azure Databricks and Apache Spark with Python. Responsibilities include designing data pipelines and performance tuning. This role demands collaboration with cross-functional teams and strong analytical skills. The position offers a hybrid working model with three days in the office.

Qualifications

  • 8+ years of hands-on data engineering experience in enterprise environments.
  • Strong expertise in Azure services and Azure Databricks.
  • Advanced proficiency in Apache Spark with Python (PySpark).

Skills

Data engineering in enterprise environments
Azure Databricks
Apache Spark with Python (PySpark)
SQL query optimization
ETL/ELT methodologies
Delta Lake
Data modeling
Batch processing
Real-time/streaming data
Data architecture principles
Analytical problem-solving
Collaboration

Tools

Azure DevOps
Git
Terraform
Azure Purview

Job description

Location: Alpharetta, GA (3 days in office, Hybrid model)

Full Time

Note: Please apply only W2/Independents Candidates

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.
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.
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