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Senior Data Engineer

  • Location:

    Florida

  • Sector:

    Tecnologia

  • Job type:

    Permanent

  • Salary:

    Negotiable

  • Contact:

    Max Heath

  • Contact email:

    Max.Heath@oliverjames.com

  • Job ref:

    JOB-112021-154987_1636562640

  • Published:

    21 giorni fa

  • Expiry date:

    2021-12-10

  • Startdate:

    ASAP

Senior Data Engineer - Fully Remote (EST)

The role will support the Data Science team through existing pipelines and processes to integrate towards best-in-class data management practices seamlessly.

Job Description

  • Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (e.g., scripts, programs, automation, etc.)
  • Ensures quality of technical solutions as data moves across multiple zones and environments
  • Provides insight into the changing data environment, data processing, data storage and utilization requirements for the company, and offer suggestions for solutions
  • Ensures managed analytic assets to support the company's strategic goals by creating and verifying data acquisition requirements and strategy
  • Develops, constructs, tests, and maintains architectures
  • Aligns architecture with business requirements and use programming language and tools
  • Identifies ways to improve data reliability, efficiency, and quality
  • Conducts research for industry and business questions

Minimum Qualifications:

  • Bachelor's Degree in Computer Engineering or related field
  • 5+ years of experience working in a 'Big Data' ecosystem process data; includes file systems, data structures/data bases, , automation, security, messaging, movement, etc.
  • 5+ years of experience working in a production cloud infrastructure
  • 5+ years' experience in data programming languages such as Java, pyspark, R or Python

Preferred Qualifications:

  • Proven track record of success directing the efforts of data engineers and data analysts with a deadline-driven and fast-paced environment
  • Demonstrated experience working in an Agile environment as a Data Engineer
  • Hands-on work with AWS, including creating Redshift data structures, accessing them with Spectrum, and storing data in S3
  • Knowledge of SQL and multiple programming languages to optimize data processes and retrieval and proficiency with relational, graph and NoSQL databases
  • Proven results using an analytical perspective to identify engineering patterns within complex strategies and ideas, and break them down into engineered code components
  • Excellent interpersonal skills with proven ability to influence with impact across functions and disciplines
  • Ability to manage multiple projects/deadlines, identifying the necessary steps, and moving forward through completion
  • Skilled in Microsoft Office; including PowerPoint, Word, Excel and Visio
  • Experience building out production level visualization dashboards using tools such as Tableau or QlikView

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