Insight Global | Hiring | REMOTE Principal Data Engineer | Charlotte, NC | BigDataKB.com | 2022-09-29

Job Location: Charlotte, NC

JOB DESCRIPTION

An employer is seeking a Principal Data Engineer for a client sitting fully remote. The Principal Data Engineer will work directly with all functions of Data Operations, Analytics, and business teams. The person in this role will be responsible for creating data pipelines and products while leading a team of capable engineers. This role requires a leader who has heavy technical expertise that can be hands-on to lead the team by example.

Create Data Pipelines

  • Leverage Google Cloud (GCP) to create automated pipelines to and from different environments
  • Create repeatable processes to instantiate data processes that fuel analytics products and business decisions
  • Design and implement data processes to enrich and leverage data landed in GCP

Design Data Products

  • Utilize GCP to create new and business relevant data products from existing data
  • Build repeatable processes to create data endpoints that fuel reports, analytics, and BI platforms

Lead Data Initiatives

  • Spearhead global efforts to reshape and redesign entire data ecosystems across the enterprise
  • Act as a point of view owner and key stakeholder for data-driven initiatives

Lead Global Teams

  • Lead both onshore and offshore teams to successfully implement data products and pipelines
  • Implement team operating models that foster learning, development, and continuous improvement
  • Work with product managers, data engineers, and business analytics to roadmap, plan, and deliver on key data-driven efforts

Create the Future of Data

  • Design and implement processes using the entire toolset within GCP to shape the future of data
  • Lead by example by being empowered to leverage previous experience to redesign data systems


MINIMUM REQUIREMENTS

Bachelorโ€™s Degree in Business Administration, Information Technology, Information Systems, or related field
5+ yearsโ€™ experience in data engineering including relevant experience working with Google Cloud or on-premises data solution: creating/supporting ETLs, database administration, data modeling, business partnerships, and teamwork
2+ years of hands-on experience working in cloud computing
Experience building, maintaining, and enhancing automation platforms with Apache Airflow
Ability to understand the interaction between data flows and business processes
Good understanding of relational and non-relational data bases including data modeling and data structures
Experience translating business requirements to technical requirements
Experience with data migration to cloud native environment and Big Data environment
Deep understanding of data warehouse, data cloud architecture, building data pipelines, and orchestration
Excellent Python and SQL skills (including hands on experience building data pipelines with SQL)
Experience in agile methodology is preferred
Strong self-starter with a resilient, solution minded approach to complex problems
Ability to handle multiple priorities to meet multiple deadlines
Excellent verbal and written communication skills
Great attention to detail.
Certifications such as Azure Data Engineer, AWS Specialty Data Analytics or GCP Professional Data Engineer
Online courses: Databricks, Spark, Advanced Python, DevOps, Agile

Apply Here

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