Senior Data Engineer

16 hours ago


Mumbai, Maharashtra, India beBeeData Full time US$ 1,04,000 - US$ 1,30,878
Job Title: Azure Databricks Lead

As a senior data engineer, you will play a crucial role in designing and developing scalable data pipelines using Azure Databricks and PySpark/Scala.

Our ideal candidate has experience architecting and building data platforms on Azure and is proficient in Azure Databricks, PySpark, and SQL. You will work closely with data engineers and architects to ensure efficient data movement and transformation.

Key Responsibilities:

  • Design and Develop Data Pipelines: Create scalable data processing pipelines using Azure Databricks and PySpark/Scala, implement ETL (Extract, Transform, Load) processes to ingest, transform, and load data from various sources.
  • Data Quality Implementation: Establish data quality checks and validation rules within Azure Databricks, monitor data quality metrics, and address anomalies promptly.
  • Unity Catalog Integration: Leverage Azure Databricks Unity Catalog to manage metadata, tables, and views, integrate Databricks assets seamlessly with other Azure services.
  • Delta Lake Expertise: Understand and utilize Delta Lake, which provides ACID transactions and time travel capabilities on top of data lakes, implement Delta Lake tables for reliable data storage and versioning.
  • Performance Tuning and Query Optimization: Profile and analyze query performance, optimize SQL queries, Spark jobs, and transformations for efficiency.
  • Resource Optimization: Manage compute resources effectively within Azure Databricks clusters, scale clusters dynamically based on workload requirements.
  • Source System Integration: Integrate Azure Databricks with various source systems, ensure seamless data ingestion and synchronization.

Qualifications and Skills:

  • Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Experience: Minimum 5-6 years of relevant experience architecting and building data platforms on Azure.
  • Certifications: Microsoft Certified: Azure Data Engineer Associate or similar.
  • Soft Skills: Strong problem-solving abilities, excellent communication and collaboration skills, ability to work in a fast-paced, agile environment.

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