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Revalsys Technologies - Data Engineer - Big Data/Python

2 - 4 years

0 Lacs

Posted:5 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Key Responsibilities

  • Design, develop, and optimize big data pipelines using Azure Databricks, PySpark, and Delta Lake.
  • Collaborate with Azure services like Data Lake, Synapse, SQL Database, and Data Factory to implement robust data solutions.
  • Develop and maintain ETL/ELT workflows for efficient data ingestion, transformation, and processing.
  • Implement data governance, security, and compliance best practices in Azure environments.
  • Optimize Databricks clusters, workflows, and cost efficiency in cloud environments.
  • Work closely with data scientists, analysts, and business stakeholders to ensure high-quality data solutions.
  • Implement CI/CD pipelines for data engineering workflows using Azure DevOps.
  • Ensure data quality, lineage, and observability using tools like Great Expectations, Unity Catalog, and Databricks Required Qualifications & Skills :
  • Databricks Certified Data Engineer Associate (Preferred)
  • Databricks Certified Data Engineer Professional Skills :
  • Azure Cloud Services : Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse, Azure Functions
  • Big Data & ETL : PySpark, SQL, Delta Lake, Kafka (Preferred)
  • Programming : Python, SQL, Scala (Optional)
  • Orchestration & Automation : Airflow, Azure DevOps, GitHub Actions
  • Data Governance & Security : Unity Catalog, RBAC, PII masking
  • Performance Optimization : Spark tuning, Databricks cluster configuration, Experience :
  • 2-4 years of experience in data engineering with a focus on Azure and Databricks
  • Experience working in high-volume, real-time streaming environments
  • Strong understanding of data modeling, warehousing, and governance best practices
(ref:hirist.tech)

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