Analyst 2, Business Applications

Responsibilities

• Design, develop, and maintain high-performance ETL/ELT pipelines using PySpark and Spark SQL
• Build and orchestrate data workflows within the Azure ecosystem
• Implement hybrid data integration between on-premise databases and Azure Databricks using ADF, HVR, or Fivetran
• Optimize Spark jobs for performance, scalability, and cost efficiency
• Enforce best practices for data quality, governance, and documentation
• Collaborate with data analysts, scientists, and business users to refine data requirements
• Support CI/CD processes, automation tools, and version control using Git
• Perform root cause analysis and troubleshooting to ensure pipeline reliability

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field
• 2+ years of hands-on experience in data engineering
• Proficiency in PySpark, Spark SQL, and distributed processing
• Strong knowledge of Azure cloud services including ADF, Databricks, and ADLS
• Experience with SQL, data modeling, and performance tuning
• Familiarity with Git, CI/CD pipelines, and agile methodologies

Preferred Qualifications

• Experience with orchestration tools such as Airflow or ADF pipelines
• Knowledge of real-time streaming tools like Kafka, Event Hub, or HVR
• Exposure to APIs, data integrations, and cloud-native architectures
• Familiarity with enterprise data ecosystems

About the Company

Sandisk understands how people and businesses consume data and relentlessly innovates to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world.