APRIL

Data Engineer

Job description

Description
  • Design and build reusable components, frameworks, and libraries at scale to support analytics products
  • Design and implement product features in collaboration with business and Technology stakeholders
  • Identify and solve issues concerning data management to improve data quality
  • Clean, prepare and optimize data for ingestion and consumption
  • Collaborate on the implementation of new data management projects and re-structure of the current data architecture
  • Implement automated workflows and routines using workflow scheduling tools
  • Build continuous integration, test-driven development, and production deployment frameworks
  • Collaboratively review design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
  • Analyze and profile data for designing scalable solutions
  • Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues
Skills
  • Bachelors degree in IT or related field.
  • One of the following alternatives may be accepted: PhD or Law + 3 years; Masters + 4 years; Associates + 6 years; High School + 7 years exp.
  • 5 years’ relevant work experience.
  • Strong understanding of data structures and algorithms
  • Strong understanding of solution and technical design
  • Has a strong problem solving and analytical mindset
  • Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
  • Able to quickly pick up new programming languages, technologies, and frameworks
  • Advanced experience building cloud scalable, real time and high-performance data lake solutions
  • Experience with relational SQL
  • Experience with scripting languages such as Shell, Python
  • Experience with source control tools such as GitHub and related dev processes
  • Experience with workflow scheduling tools
  • In-depth understanding of micro service architecture
  • Strong understanding of developing complex data solutions
  • Experience working on end-to-end solution design
  • Able to lead others in solving complex problems by taking a broad perspective to identify innovative solutions
  • Willing to learn new skills and technologies
  • Has a passion for data solutions

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