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Senior Data Architect Position

3 weeks ago

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Job Description

We are seeking a skilled Data Engineer with expertise in designing, building, and optimizing ETL pipelines. The ideal candidate will have hands-on experience working with Databricks, Azure Cloud technologies, and managing large-scale data processing workflows.

The role involves designing and developing scalable ETL pipelines for batch data ingestion and egress using Azure Data Factory and Databricks. The candidate should also be proficient in implementing data transformation workflows using PySpark and Scala Spark for high-performance data processing.

Key Responsibilities:

  • Design and develop efficient ETL pipelines for data ingestion and egress.
  • Implement data transformation workflows using PySpark and Scala Spark.
  • Work extensively with Azure Cloud services including Azure Data Lake, Azure Data Factory, Azure Databricks, Azure SQL Database, and related services.
  • Troubleshoot, debug, and resolve job failures by identifying root causes.
  • Optimize data processing jobs for performance and cost efficiency.
Technical Skills Required

Required skills and qualifications include:

  • Microsoft Certified: Azure Fundamentals (preferred)
  • Microsoft Certified: Azure Data Engineer Associate (preferred)
  • Strong programming skills in Python and Scala
  • Hands-on experience with Spark (PySpark & Scala Spark)
  • Proficiency in SQL for data querying and transformation
  • Good knowledge of Azure Cloud, Azure Data Factory (ADF), and Azure Databricks
  • Strong understanding of ETL pipeline design and implementation
Benefits

This role offers the opportunity to work on challenging projects, collaborate with business and technical teams, and develop reusable and efficient data engineering solutions following best practices.

Others

The ideal candidate will have strong analytical and problem-solving skills, with excellent communication and collaboration skills. A proven track record of delivering projects on time and within budget is essential.