Hybrid Analytics Engineer

Posted 2 months ago

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About the role

  • Analytics Engineer developing technical expertise for application teams at Belk. Collaborating with business partners to translate requirements into technical solutions and ensuring data compliance.

Responsibilities

  • Develops and provides technical expertise related to various application teams
  • Works with Business Partners to understand business requirements and converts those into technical requirements
  • Designs and develops customizations, conversions, and interfaces as necessary
  • Creates data and process flow diagrams to represent system design
  • Develops implementation plan and coordinates go-live and change management
  • Provides warranty period production support for applications
  • Develops strategic alliance with Business Partners
  • Analyzes business requirements and develops technical requirements
  • Applies design best practices, identifies risks, and provides effort estimates
  • Creates and documents technical design specifications and data/process flow diagrams
  • Deploying logical and physical data models and building automated and scalable data pipelines
  • Works on S/W development best practices like code review, CI/CD, release management and version control
  • Works independently across various projects and as part of Scrum team
  • Provides insight and recommendations to data team and other stakeholders
  • Works with Security and Operations team to ensure data and solution compliance

Requirements

  • College or university degree in Data Engineering, Computer Science, or Information Systems
  • 5+ years as Software Engineer/Developer
  • Hands-on experience with application development and production support
  • Experience in technical design for enhancements
  • Knowledge of cloud platforms (Azure or Google Cloud Platform)
  • Experience with Data Warehouse and mining utilities (Snowflake knowledge is a plus)
  • Proficient in ETL and ELT tools with Snowflake
  • Familiarity with programming languages like Python and R
  • Knowledge of data modeling and database management
  • Familiarity with APIs, XML, JSON, SQL, PL/SQL, UNIX
  • Experience with database software like Oracle, MySQL, DB2
  • Knowledge of data integration tools and job schedulers (Talend and JAMS are plus)

Benefits

  • Positive, inclusive, vibrant and fast-paced environment
  • Access to tools and resources necessary for effectiveness in job
  • Opportunity to meet with senior leadership
  • Equal Opportunity Employer

Job title

Analytics Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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