Senior Data Warehouse Engineer (Big Data)

Job Description

We are looking for exceptional Data Warehousing practitioner ready to dig in and help realize the potential of our Data Warehouse. The ideal candidate will be comfortable fusing traditional dimensional modeling techniques with Hadoop and cloud-based technologies to process massive volumes of data at scale.

You'll have the opportunity to work in a transparent, creative environment and take initiative. As a senior member of the Data Warehousing and Reporting team, you'll collaborate closely with Data Science and other Data Engineering teams to power insight and develop meaningful data products for both our internal and external customers.

Responsibilities:

We are looking for a Senior iOS Engineer / Architect with 4-6 years’ experience and has:

• Collaborate directly with product owners to define data and processing requirements for supporting new data products and analytics capabilities
• Build ETL and analytics solutions that support massive scalability requirements; deliver consistent performance and reliability
• Develop the data warehouse cloud-based architecture
• Help evaluate and select core data warehouse technologies
• Mentor junior team members and work to establish best practices for development process

Qualifications & Key Skills:

• Have BS in Computer Science or equivalent
• Have over 5 years of data warehousing or big data processing experience
• Solid understanding of OLAP and ETL data processing concepts
• Strong ETL and dimensional modeling skills
• Strong SQL and analytic skills
• Experience using Apache Hive and Hadoop
• Experience with JVM-based languages and Python
• Experience with cloud-based ETL and Platform-as-a-Service vendors
• Experience with Linux and scripting tools
• Self-starter with boundless intellectual curiosity
• Attention to detail – it’s in your DNA
• Experience with Pentaho BI platform, HBase, and Jenkins a plus