Website:
customerik.com
Job details:
Company Description CustomerIK is a Martech-focused company that helps businesses connect with their audiences through innovative, data-driven marketing solutions. The team integrates marketing and technology to deliver smarter campaigns that drive growth, engagement, and improved ROI. Using advanced analytics, automation, AI, and machine learning, CustomerIK enables personalization at scale and continuous performance optimization. Applicants joining CustomerIK will work with tailored strategies, cutting-edge tools, and an expert team passionate about building the future of marketing.
Role Description The Data and Analytics Engineer is a full-time, remote role responsible for designing, building, and maintaining data pipelines and analytics solutions that support CustomerIK’s marketing technology platform. Day-to-day work includes developing and optimizing ETL processes, modeling data to support reporting and advanced analytics, and managing data warehousing solutions for scalable, reliable storage. The role involves collaborating with product, marketing, and engineering teams to understand data needs, ensure data quality, and deliver actionable insights. The engineer will also help improve data performance, implement best practices in data governance, and support AI and machine learning initiatives.
Qualifications
- Strong data engineering skills, including experience with building and maintaining scalable data pipelines.
- Proficiency in data modeling and data warehousing for analytics and reporting use cases.
- Hands-on experience with Extract Transform Load (ETL) tools and frameworks to integrate data from multiple sources.
- Solid data analytics capabilities, including querying, analysis, and translating data into insights for stakeholders.
- Comfort with SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala).
- Experience with cloud data platforms (e.g., AWS, GCP, Azure) and modern data stack tools is beneficial.
- Understanding of marketing analytics, digital marketing data, or Martech ecosystems is a plus.
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
- Ability to work independently in a remote environment, communicate clearly with cross-functional teams, and manage multiple priorities.
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