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57 Merkle Science Jobs
Data Engineer
Merkle Science
posted 10hr ago
Job Role Insights
Key skills for the job
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
Desired Skills:
- Experience with Snowflake data warehouse including scheduled tasks, table streams and JavaScript stored procedures
- Experience with AWS services (such as S3, EC2, RDS, EMR, Lambda or SNS/SQS)
- Experience with data processing workflow systems (Apache Nifi, Talend or Airflow)
- Experience with creating reports, dashboards and visualizations (Tableau preferred)
Employment Type: Full Time, Permanent
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