Senior Data Engineer (Sql, Etl, Google Cloud)

Syrinx Boston , MA

Posted Yesterday

Who you are:
  • An expert at SQL-based ETL development, and experienced with Python, Java, or equivalent scripting language.
  • Experienced developing in cloud platforms such as Google Cloud Platform (preferred), AWS, Azure, or Snowflake at scale.
  • Comfortable designing and implementing DW Architecture, OLAP technologies, and star/snowflake-schemas to enable self-service tooling.
  • Experience with real-time data streaming tools like Kafka, Kinesis, Apache Storm or any similar tools.
  • Experience with big data technologies like Hadoop, Spark, Cassandra, MongoDB or other open source big data tools.
  • Experience architecting data solutions utilizing Bl tools like Looker, Tableau, AtScale, PowerBI, or any similar tools.
  • Excellent communication and presentation skills, strong business acumen, critical thinking, and ability to work cross functionally through collaboration with engineering and business partners. Previous e-commerce experience is a plus.
  • 5+ years of Data Architecture experience working in partnership with large data sets (5+TB highly desired)
  • 4+ years of experience leading or mentoring technical teams.
  • Bachelor's or Masters in Computer Science, Computer Engineering, Statistics, or another quantitative discipline
What you'll do:
  • Own the technical architecture, design, and implementation of big data platforms and self-service solutions
  • Collaborate with stakeholders and other engineering leaders to define and develop the data architecture roadmap.
  • Act as a subject matter expert to leadership for technical guidance around solution design and best practices.
  • Be a technical mentor to junior engineers and expose the team to new opportunities, while still being able to dependably deliver on ongoing goals.
  • Keep current on big data and data visualization technology trends, evaluate, work on proof-of-concepts and make merit-based recommendations on technologies
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Senior Data Engineer (Sql, Etl, Google Cloud)