PDSSOFT INC.
Data Engineer-Ex Microsoft
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "N/A" and a pay rate of "N/A," located in Redmond, WA (remote work allowed in PST). Requires strong skills in Apache Spark, Scala, SQL, and Power BI; financial domain experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 18, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Redmond, WA
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🧠 - Skills detailed
#Azure #Hadoop #Oracle ERP #Security #Apache Spark #SQL (Structured Query Language) #GCP (Google Cloud Platform) #SQL Queries #AWS (Amazon Web Services) #Data Lake #Data Processing #"ETL (Extract #Transform #Load)" #Cloud #Microsoft Power BI #Compliance #Databricks #Big Data #Azure Databricks #Scala #Synapse #Oracle #Spark (Apache Spark) #Data Quality #Data Engineering #BI (Business Intelligence) #Distributed Computing #Data Manipulation #Azure cloud #Data Pipeline #SAP #Datasets #Visualization
Role description
Data Engineer
Location - Redmond ,WA ( Open for WFM -Need to work in PST time zone)
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.
Data Engineer
Location - Redmond ,WA ( Open for WFM -Need to work in PST time zone)
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.
