Presidio - Charlotte, NC

posted about 2 months ago

Full-time - Mid Level
Remote - Charlotte, NC
Professional, Scientific, and Technical Services

About the position

SEIZE THE OPPORTUNITY TO BE A PART OF SOMETHING GREAT! Presidio is on the leading edge of a technology-driven movement to transform the way business is done, for our customers and our customers' customers. Joining Presidio means immersing yourself in a culture of self-starters, collaborators, and innovators who make real, lasting change in the marketplace via cutting-edge technology and business solutions. At Presidio, we know that it's our people that make the connections happen. As a Senior Data Engineer, you will be optimizing data systems and building them from the ground up or even re-designing existing data architecture to support the next generation of products and data initiatives. This is a fully remote role. You will create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional and non-functional business requirements, and build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Presidio is committed to Diversity, Equity, and Inclusion at the highest levels and has strengthened its drive to build and drive systemic DEI change processes across all levels of the organization. Cultivating a culture of inclusion where the expression of all our differences are valued, celebrated, and add to our collective achievements is a core value at Presidio. Presidio operates in 40+ US offices and offices in Ireland, London, Singapore, and India, providing a flexible full life cycle model of professional, managed, and support and staffing services to help execute, secure, operationalize, and maintain technology solutions. For more information visit: http://presidio.com

Responsibilities

  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional and non-functional business requirements.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

Requirements

  • Strong work experience on AWS Data Analytics stack - EMR, Redshift, Kinesis/managed Kafka, Glue.
  • Experience with Snowflake in workflow.
  • Experience with other dashboarding solutions like Tableau, Qlik and/or similar programs is a plus.
  • Strong SQL knowledge.
  • Experience with data pipelines running on Spark.
  • Bachelor's degree or equivalent experience and/or military experience.
  • 6+ years of advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • 3+ years of work experience in developing data pipelines running on Spark.
  • 3+ years of work experience developing green file and legacy data modernization projects on Snowflake.

Nice-to-haves

  • Experience on Azure and GCP data stack is definitely a plus.
  • Strong communication to work with technical and non-technical stakeholders.
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