15 Sep
|
Perficient India
|
Hyderabad
15 Sep
Perficient India
Hyderabad
We are looking for a Solutions Architect (Databricks)nnLocations: #Hyderabad |#Bangalore | #Chennai | #Pune | #NagpurnnExperience: 10+ YearsnnEmployment Type: Full-time | Hybrid (3 days work from office)nnInterview Mode: Virtual followed by mandatory in-personnnNotice Period: Immediate- 15 Daysnn Apply now or Tag someone who'd be a great fit!nnhttps://forms.office.com/r/UdVXYXN9h8nnnnnJob Title: Solutions Architect (Databricks)nnJob Description:nnWe are looking for a skilled Data Engineer with strong expertise in Azure Databricks, PySpark, SQL, and Python to join our team. The ideal candidate will design, build, and optimize scalable data pipelines and support analytics initiatives on the Azure platform.nnResponsibilities:nnDesign and maintain ETL/ELT pipelines using Azure DatabricksWrite efficient PySpark and Python code for large-scale data processingDevelop and optimize complex SQL queries for data transformation and reportingWork with Delta Lake, Azure Data Lake Storage (ADLS),
and Azure Data FactoryMonitor and troubleshoot pipeline performanceCollaborate with data analysts and business teams to deliver reliable datasetsRequirements:nnMinimum 10+ years of programming experience with (7+ years of Data Engineer; Azure Databricks, Python, PySpark, SQL).Completed Data Engineering Associate or Professional certificationMinimum 6-8+ projects delivered with hands-on experience in development on DatabricksWorking knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one Deep experience with distributed computing with Spark with knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOpsCurrent knowledge across the breadth of Databricks product and platform features Familiarity with optimizations for performance and scalabilitynnnPreferred CertificationsnnDatabricks Certified Data Engineer Associate or Skilled .
📌 Solutions Architect (Databricks) (Hyderabad)
🏢 Perficient India
📍 Hyderabad