The purpose of this role is to maintain, improve, clean and manipulate data in the business’s operational and analytics databases. The Data Engineer works with the business’s software engineers, data analytics teams, data scientists and data warehouse engineers in order to understand and aid in the implementation of database requirements, analyse performance, and troubleshoot any existent issues.

Job Description

We are looking for a talented Data Engineer with big data processing experience to join our Agile development team in building products to support Merkle’s people based marketing vision using the latest data and cloud technologies.  You will work with a team of passionate, experienced, nimble, and goal-oriented engineers that are solving complex problems and critical data analysis and reporting features. You will embrace change, and rapidly build, test, and scale solutions that drive incremental business value for our customers and partners.  We’re looking for smart, enthusiastic, driven individuals who are eager to contribute to our world class solutions.

Key Responsibilities

• Design, implement, and deploy enterprise data solutions using cutting-edge cloud-based technologies
• Follow Agile methodologies to release iterative feature sets very rapidly
• Research and introduce new solutions and technologies to the project and stakeholders, provide technical guidance and suggest improvements in development
• Work independently, without guidance, with broader overview on the project
• Coordinate with other teams as part of a larger data-sharing system
• Employ software development best practices such as automated testing, peer code reviews, continuous integration, and continuous delivery
• Translate business requirements and develop technical specifications
• Communicate clearly and document processes
• Perform quality assurance and testing of your work
• Contribute to a collaborative, positive, stimulating, and enjoyable environment for your development team

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems or equivalent experience
• Must have 5+ years of work experience with programming languages and object-oriented design (Python preferred)
• Must have strong database fundamentals including SQL, relational and non-relational data models and schema designs, and understanding of database performance implications
• Must have understanding of cloud-based technologies (AWS, GCP or Azure, AWS preferred)
• Must have experience leveraging automated tests for code validation and test-driven development
• Must have experience building and deploying products using continuous integration principles
• Must have working knowledge of software engineering and development methodologies, techniques, and tools, including Issue Tracking (like JIRA), code repositories (like Git, Bitbucket) and the Software Development Lifecycle

Required Skills:

• Experience building workflow orchestration, logging, error handling and automated testing utilizing Python and the Pytest framework
• Understanding of “Big Data” ETL methodologies and managing large scale data sets
• Strong understanding of data structures, algorithms, and distributed systems
• Strong Snowflake knowledge
  • Tasks
  • Streams
  • Stored Procedures
  • Snowpark for Python
• CI/CD Processing (knowledge of Flyway a plus)
• Background in building data products such as an append system
• Strong documentation skills
• Team player