Senior Big Data Engineer
2 days ago
JobRialto is seeking an experienced Big Data Technical Lead with over 10 years of experience designing and implementing large-scale data warehouse solutions. This is a unique opportunity to leverage your expertise in big data technologies like Spark, Scala, and PySpark to drive business growth and innovation.
The ideal candidate will possess strong problem-solving and architecting skills, especially in cases where requirements may be unclear. You will work closely with cross-functional teams to define technical requirements and deliver solutions that meet business needs.
Main Responsibilities
• Design and implement scalable and robust data warehouse solutions using big data technologies like HBase and Hive.
• Develop and optimize big data pipelines using Spark, Scala, and PySpark for efficient data processing.
• Collaborate with cross-functional teams to define technical requirements and deliver solutions that meet business needs.
• Troubleshoot and resolve issues related to data processing and performance in large-scale data systems.
• Provide technical leadership and mentoring to junior team members in data engineering and architecture.
Requirements
• Minimum of 10+ years of experience in data engineering, data warehousing, or big data development.
• Strong experience with Spark, Scala, and PySpark programming languages for data processing and automation.
• Experience with big data databases such as HBase, Hive, and other cloud-based data solutions like AWS.
• Proficiency in Python for data processing and orchestration tools like Airflow for efficient data pipeline management.
• Familiarity with data warehouse architecture and implementation, including data integration, ETL processes, and big data processing frameworks.
Estimated Salary: $180,000 per year
This is a full-time position offering competitive compensation and benefits.
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