Data Engineer with Azure Databricks

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profile Job Location:

Bengaluru Urban - India

profile Monthly Salary: Not Disclosed
Posted on: 4 days ago
Vacancies: 1 Vacancy

Job Summary

Mandatory Skills:
Data Warehousing Azure Data Engineer Azure Data Lake Databricks PySpark Python
Job Description:
  • Proficiency in Azure Databricks and hands-on experience with Apache Spark for large-scale data processing
  • Strong programming skills in Python / PySpark (Scala is a plus)
  • Good knowledge of SQL relational databases and data warehousing concepts
  • Experience with Azure cloud services related to data storage and processing
  • Understanding of data modeling ETL pipelines and data integration methodologies
  • Strong problem-solving skills with attention to detail
  • Ability to work effectively in a collaborative team-oriented environment
Roles & Responsibilities:
  • Design and develop scalable ETL pipelines using Azure Databricks to process large data volumes
  • Collaborate with business and technical stakeholders to understand data requirements and deliver solutions
  • Optimize data storage and retrieval for performance and efficiency
  • Implement data quality checks governance standards and validation processes
  • Stay updated with emerging data engineering tools and best practices
Tools & Technologies:
  • Data Engineering: Databricks Apache Spark Delta Lake
  • Programming: Python SQL PySpark
  • Cloud Platform: Azure
Mandatory Skills: Data Warehousing Azure Data Engineer Azure Data Lake Databricks PySpark Python Job Description: Proficiency in Azure Databricks and hands-on experience with Apache Spark for large-scale data processing Strong programming skills in Python / PySpark (Scala is a plus) Good knowledge ...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala