Verdant Infotech Solutions
Principal Data Engineer - Databricks & Azure
Verdant Infotech Solutions, Lewisville, Texas, us, 75029
Formal Job Title: Principal Data Engineer - Databricks & Azure
Terms: 3-6+ Month Contract
W2
Interview Process: Video
Work schedule details: Must be local to Warren, NJ - hybrid
Status: Green Card, US Citizen, GC-EAD, H4-EAD, L2, TN
*Candidate must be on our companies W2
Be sure to attach a copy of the candidate DL, visa and proof of address***
Please attach two managerial level references with each candidate submittal, we will have to check the reference before submittal per client request.
Required Skill(s):
8+ years of experience in data engineering, cloud data platforms, and big data solutions. Strong expertise in Databricks, Azure Data Services (Azure Synapse, Azure Data Factory, Azure SQL, ADLS, etc.). Hands-on experience with Apache Spark, Delta Lake, and distributed computing frameworks. Proficiency in Python, SQL, and Scala for data processing. Experience with data governance, security best practices, and compliance standards. Strong background in automation, CI/CD pipelines, and Infrastructure as Code (Terraform, ARM, etc.). Experience with real-time data processing, streaming (Kafka, Event Hubs, etc.), and AI/ML integration. Knowledge of cost optimization strategies and performance tuning techniques in cloud data platforms.
*Candidate must be on our companies W2
Be sure to attach a copy of the candidate DL, visa and proof of address***
Please attach two managerial level references with each candidate submittal, we will have to check the reference before submittal per client request.
Required Skill(s):
8+ years of experience in data engineering, cloud data platforms, and big data solutions. Strong expertise in Databricks, Azure Data Services (Azure Synapse, Azure Data Factory, Azure SQL, ADLS, etc.). Hands-on experience with Apache Spark, Delta Lake, and distributed computing frameworks. Proficiency in Python, SQL, and Scala for data processing. Experience with data governance, security best practices, and compliance standards. Strong background in automation, CI/CD pipelines, and Infrastructure as Code (Terraform, ARM, etc.). Experience with real-time data processing, streaming (Kafka, Event Hubs, etc.), and AI/ML integration. Knowledge of cost optimization strategies and performance tuning techniques in cloud data platforms.