Job Description

• JOB DESCRIPTION:

• 6+ years of experience within the field of data engineering or related technical work including business intelligence, analytics
• 4+ years of experience in architecture for commercial scale data pipelines
• Experience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners
• Experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business
• Exposure to Amazon AWS or another cloud provider
• Experience with Business Intelligence tools such as Tableau, ThoughtSpot, PowerBI and/or Looker
• Familiarity with data warehousing platforms and data pipeline tools such as Redshift, Snowflake, SQL Server, etc.
• Passionate about programming and learning new technologies; focused on helping yourself and the team improve skills
• Effective problem solving and analytical skills. Ability to manage multiple projects and report simultaneously across different stakeholders
• Rigorous attention to detail and accuracy
• Aware of and motivated by driving business value
• Experience with large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase
• Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, PostgreSQL, AWS Aurora, AWS RDS , MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata)
• Bachelor's degree in engineering, Computer Science, Statistics, Economics, Mathematics, Finance, a related quantitative field
• Advance CS degree is a plus knowledge and experience

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