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Databricks Engineer @ Multinational Company

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 Posted 31 days ago — confirm the vacancy is still active.

 Databricks Engineer

Job Description

Role & responsibilities


  • Design and develop scalable data pipelines using Azure Data Factory and Databricks.
  • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data.
  • Develop data transformation logic using PySpark, Spark SQL, and Python.
  • Implement data ingestion frameworks from multiple source systems into Azure Data Lake.
  • Work with business and analytics teams to deliver high-quality data solutions.
  • Optimize Databricks jobs for performance, reliability, and cost efficiency.
  • Create reusable frameworks, monitoring processes, and automation scripts.
  • Ensure data quality, governance, security, and compliance standards are maintained.
  • Collaborate with cross-functional teams in Agile delivery environments.

Required Skills

  • 69 years of experience in Data Engineering and Cloud Data Platforms.
  • Strong hands-on experience in Azure Databricks and Azure Data Factory (ADF).
  • Expertise in PySpark, Spark SQL, Python, and SQL.
  • Experience with Azure Data Lake, Blob Storage, Synapse, and Delta Lake.
  • Strong understanding of ETL/ELT concepts and data warehousing.
  • Experience in performance tuning and optimization of Spark workloads.
  • Knowledge of CI/CD pipelines and DevOps practices in Azure.
  • Good understanding of data modeling and pipeline orchestration.
  • Strong problem-solving and communication skills.

Preferred Skills

  • Experience with Kafka, streaming, or real-time data processing.
  • Exposure to Terraform, Airflow, or Azure DevOps.
  • Certifications in Azure or Databricks will be an added advantag

Job Classification

Industry: Engineering & Construction
Functional Area / Department: Engineering - Software & QA
Role Category: DevOps
Role: DevOps Engineer
Employement Type: Contract

Contact Details:

Company: Multinational Company
Location(s): Bengaluru

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Keyskills:   Azure Data Factory PySpark Spark SQL Databricks Engineer Python Synapse Azure Data Lake Blob Storage ETL SQL

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