Data Analytics Engineer
3 weeks ago
Unlock the Power of Data
At Western Digital, we're on a mission to harness the potential of data to drive innovation and growth. As a Staff Engineer, Data Analytics Engineering, you'll play a critical role in designing, developing, and optimizing large-scale data processing systems using Apache Spark and other cutting-edge technologies.
Key Responsibilities
- Design and develop efficient ETL jobs using industry-leading ETL tools
- Implement data transformation and manipulation logic using Spark RDDs and Data Frames
- Design and maintain Apache Kafka pipelines for real-time data streaming and event-driven architectures
- Develop and debug stored procedures and user-defined functions in Python
- Work with Postgres and/or Redshift/Snowflake databases
- Integrate data pipelines with Splunk/Grafana for real-time monitoring and analysis
- Create and schedule Airflow jobs
Requirements
- Minimum 6+ years of experience in developing ETL jobs and designing large-scale data processing systems
- Strong understanding of Apache Spark, Kafka, and other related technologies
- Proficiency in Python, Scala, and SQL
- Experience with Unix/Linux operating systems and CI/CD tools like Jenkins and Docker
- Strong problem-solving skills and attention to detail
What We Offer
Western Digital is committed to fostering a diverse and inclusive environment where every individual can thrive. We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.
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