Sr Azure Data Engineer Job at Zapcom, Dallas, TX

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  • Zapcom
  • Dallas, TX

Job Description

  • Design and implement data ingestion, transformation, and movement using Azure Data Factory (ADF), Azure Synapse, and Data Lake.
  • Collaborate with business stakeholders, data scientists, and engineers to build robust data solutions.
  • Develop and manage high-volume, real-time, and batch data ingestion pipelines using Azure Data Factory (ADF).
  • Implement event-driven architectures for real-time data movement and processing.
  • Develop large-scale data processing solutions using Azure Databricks and Apache Spark with PySpark, Scala, or Python.
  • Optimize data partitioning, caching, and indexing for efficient performance.
  • Manage complex transformations and aggregations for structured and unstructured datasets.
  • Design and implement high-performance data models in Azure Synapse Analytics using dedicated SQL Pools and Spark Pools.
  • Optimize query performance, workload management, and cost efficiency in Synapse Analytics.
  • Implement column store indexes, partitioning strategies, and data caching to enhance performance.
  • Design and manage secure, scalable data lakes using Azure Data Lake Storage Gen2 (ADLS Gen2).
  • Implement RBAC (Role-Based Access Control), encryption, and data masking to ensure security.
  • Implement Azure Monitor, Log Analytics, and Application Insights for data pipeline monitoring and troubleshooting.
  • Optimize cost management, auto-scaling, and performance tuning across Azure services.

Requirements

  • 8+ years of experience in data engineering, ETL development, and cloud-based data integration,
  • Strong experience with Azure Data Factory (ADF): ETL/ELT pipeline orchestration and data movement.
  • Azure Databricks: Large-scale data transformation and big data processing with Apache Spark, PySpark, Scala, or Python.
  • Azure Synapse Analytics: Data warehousing, SQL Pools, Spark Pools, and performance tuning.
  • Azure Data Lake Storage Gen2 (ADLS Gen2): Secure, scalable data lake architecture.
  • SQL Server: Advanced T-SQL, stored procedures, indexing, and query optimization.
  • Power BI, Tableau, or other BI tools for data visualization.
  • Financial/Banking experience.

Job Tags

Full time,

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