Data Engineer

Yantran LLC

United States

United States

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About

Title- Data Engineer Location - Redmond, WA (Open for WFM -Need to work in PST time zone) Skills-: 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. Questioner is mandate while submitting the profiles- Update on the resume while submitting the profile... Skill sets reviewed (All Rating are out of 5) [Associate Name] Scala - Hands on programming experience Spark - Hands on programming experience, Spark Architecture, Debugging, Optimizing ADF, Synapse SQL (Queries, Stored Proc, Backup) Azure Fabric (One Lake, Semantic Model), Delta Lake Power BI Azure Microsoft Ecosystem Expertise Scala Spark Can you describe a project where you used Scala with Apache Spark, and explain how you approached debugging and performance optimization? ADF Synapse Walk me through how you have designed or orchestrated data pipelines using Azure Data Factory or Synapse, highlighting any challenges you solved. SQL Expertise Tell me about a time you wrote complex SQL queries or stored procedures, and how you managed database backups or recovery in that environment. Azure Fabric Delta Lake What is your understanding of Azure Fabric's OneLake and Semantic Model, and how have you applied Delta Lake to ensure reliability and scalability in data solutions? Power BI Microsoft Ecosystem How have you integrated Power BI with Azure services such as Synapse, ADLS, or Delta Lake, and what benefits did this bring to the overall Microsoft ecosystem solution

United States

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