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Data Engineer
Data EngineerUnicorn Technologies LLC • WA, United States
Data Engineer

Data Engineer

Unicorn Technologies LLC • WA, United States
7 days ago
Job type
  • Full-time
  • Quick Apply
Job description

Title- Data Engineer

Location - Redmond ,WA ( Open for WFM -Need to work in PST time zone)

The role is strongly aligned with Microsoft technologies , so the candidate's experience should be relevant to Microsoft products, Azure data stack, and MSFT engineering culture .

Key Responsibilities

  • Design, develop, and maintain scalable big data solutions using Apache Spark and Scala.
  • Implement complex SQL queries for data transformation and analytics.
  • Develop and optimize Power BI dashboards for business reporting and visualization.
  • Collaborate with cross-functional teams to integrate data pipelines and reporting solutions.
  • Ensure data quality, security, and compliance across all systems.

Required Skills & Experience

  • Strong proficiency in Apache Spark with hands-on experience in Scala.
  • Solid understanding of SQL for data manipulation and analysis.
  • Experience in Power BI for creating interactive reports and dashboards.
  • Familiarity with distributed computing concepts and big data ecosystems (Hadoop, Hive, etc.).
  • Ability to work with large datasets and optimize data workflows.
  • Highly Desirable

  • Spark Performance Tuning Expertise : Proven ability to optimize Spark jobs for efficiency and scalability.
  • Knowledge of cluster resource management and troubleshooting performance bottlenecks.
  • Experience with Azure cloud services for big data solutions (e.g., Azure Data Lake, Azure Databricks, Synapse Analytics).
  • Exposure to other cloud platforms (AWS or GCP) is a plus.
  • Experience working in financial domain or with ERP systems (e.g., SAP, Oracle ERP).
  • Understanding of compliance and regulatory requirements in financial data processing.
  • Additional Qualifications

  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Key skills :

    Synapse, IAAS VM, SQL Server, ADLS Gen 2, Azure Automation account runbooks using PowerShell, Spark, Scala programming.

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    Data Engineer • WA, United States

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