Designs and builds components of enterprise services, partnering with other development teams to ensure alignment of information and technology strategies focusing on integration, data provisioning, and reporting and analytics.
- Experienced Data Engineer with a strong background in working with large sets of data, data warehousing tools, and software development methodology. In this role, you’ll participate directly in designing, building, and maintaining our data infrastructure, data products, and collaborating with operations and product management teams to ensure business success and pursue new product opportunities.
Your responsibilities
- Design, develop, and maintain scalable data workflows and pipelines using big data technologies, including Map/Reduce, Spark, Databricks and Acxiom proprietary tools
- Collaborate with data analysts, product managers, and other stakeholders to understand and develop product requirements
- Tune workflows to enhance processing efficiency and optimize use of resources
- Write well-crafted, tested, readable, and maintainable code
- Participate in code reviews to ensure code quality and distribute knowledge
- Drive innovation. Stay up to date with advancements in data engineering tools, cloud services, and generative AI; seeking opportunities to drive leaps in value creation for Acxiom’s clients
Our requirements
- Bachelor's (or better) degree in Computer Science, Engineering, Information Systems, or a related field
- 1 year of prior experience in data engineering, Databricks experience preferred.
- Proficiency in Python / PySpark
- Proficiency with big data technologies including SQL, Spark, Hadoop
- Experience designing data models to optimize storage and retrieval
- Experience working with AWS based solutions
- Experience with CICD (shift left) development practices
- Strong problem-solving skills and a commitment to excellence
- Strong written and oral communication skills with an ability to work collaboratively in a fast-paced, team-oriented environment
Additional Locations (if applicable):