Cloud Data Engineer 1796 views

This is a post on behalf of the AIPlus hiring partner.

Apply with Job ID # 100035

As a Cloud Data Engineer for Slalom Build, you’ll work in small teams to deliver innovative solutions on Amazon Web Services, Azure, and Google Cloud using core cloud data warehouse tools, Hadoop, Spark, Event Stream platforms, and other Big Data related technologies. In addition to building the next generation of data platforms, you’ll be working with some of the most forward-thinking organizations in data and analytics.

Responsibilities:

• Work as part of a team to develop Cloud Data and Analytics solutions
• Participate in the development of cloud data warehouses and business intelligence solutions
• Data wrangling of heterogeneous data and explore and discover new insights
• Gain hands-on experience with new data platforms and programming languages (e.g. Python, Hive, Spark)
• Willingness to travel up to 25%, at peak times of projects

Qualifications:

• 3+ years of related work experience in Data Engineering or Data Warehousing
• Hands-on experience with leading commercial Cloud platforms, including AWS, Azure, and Google
• Proven experience with data warehousing, data ingestion, and data profiling
• Proficient in SQL
• Strong aptitude for learning new technologies and analytics techniques
• Highly self-motivated and able to work independently as well as in a team environment
• Understanding of agile project approaches and methodologies
• Proficient in a source code control system, such as Git
• Proficient in the Linux shell, including utilities such as SSH

Preferred Experience:

• Familiarity with implementing analytics solutions with one or more Hadoop distributions (Cloudera, Hortonworks, MapR, HDInsight, EMR)
• Familiarity with streaming data ingestion
• Proficient in Python and/or Java
• Consulting experience
• Familiarity or strong desire to learn quantitative analysis techniques (e.g., predictive modeling, machine learning, segmentation, optimization, clustering, regression)

They are hiring for their offices in North America Locations: Seattle, Toronto, Denver, Boston, Houston, Chicago, Charlotte, Atlanta, Vancouver, New York, Dallas, Silicon Valley, Los Angeles