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Senior Data Engineer (Azure Databricks + Pyspark/SparkSQL/Python)

Lorven Technologies

 

Charlotte, NC, USA

Posted On: 30+ days ago
Experience: 12+ years
Availability: Onsite
Openings: 1
Category: Senior Data Engineer
Tenure: No Preference/Any
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Description

Job Description:

  • Bachelor's degree or Masters Degree in Computer science, or a related field, with minimum 12+ Years of relevant experience.

Job Summary:

We are seeking a highly skilled Onshore Data Engineer with strong expertise in the Azure data eco system to design build and maintain scalable data solutions. The ideal candidate will have extensive handson experience with Azure Databricks PySpark SparkSQL and Python along with deep knowledge of Azure data integration and DevOps practices This role will work closely with business and technology stakeholders to deliver reliable high Performance data pipelines

Key Responsibilities

  • Design develop and optimize data pipelines using Azure Databricks PySpark SparkSQL and Python.
  • Build and maintain data ingestion and orchestration workflows using Azure Data Factory ADF. 
  • Develop and integrate APIsto support data exchange across systems and platforms.
  • Implement CICD pipelines using Azure DevOpsand GitHubfor version control deployment and automation  Collaborate with analytics BI and application teams to support downstream data consumption. Ensure data quality performance security and scalability across platforms

Required Qualifications

  • Should have strong experience with Azure Databricks
  • Should have strong experience on the Azure technology stack.
  • Strong proficiency in PySpark, SparkSQL and Python.
  • Hands on experience in ADF development and DevOps practices. 
  • Experience working on recent production grade projects latest engagements preferred.
  • Good to have Experience in the Banking or Financial Services domain.
  • Strong problem solving and communication skills

Education

Any Graduate

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