Senior Data Engineer

As a Senior Data Engineer, you will lead and contribute to high-impact projects with top-tier international clients across industries, designing, implementing, and optimizing ETL solutions that support Marketing Mix Modeling and Optimization and broader Marketing Effectiveness initiatives. You’ll work closely with data engineers, data scientists, and tech leads across 1-2 concurrent projects, build robust, scalable data architectures that enable marketing analytics and support data driven decision making. In addition to technical ownership, you will play a key role in project and stakeholder management, partnering with cross-functional teams and client stakeholders to ensure successful project delivery and business impact. You will also benefit from our technology partnerships, training programs, and mentorship from Ekimetrics partners, further developing your expertise in data engineering, project management, and stakeholder engagement. Your responsibilities will include:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related quantitative field, with 4-6 years of experience in data engineering, analytics, or statistical modeling.
• Proficient with Databricks (Delta Lake, Spark, Asset Bundles, Unity Catalog, Cluster Management)
• Proficiency in Python and working knowledge of SQL, Spark, and Bash scripting.
• Experience with templating languages is a plus.
• Skilled in building and deploying production-grade data pipelines and architectures complete with CI/CD plus experience with ELT/ETL processes.
• Experience with Azure required, familiarity with GCP or AWS a plus.
• Experience with PowerBI or Tableau for dashboarding and data visualizations.
• Exposure to ML or advanced analytics techniques is a plus.
• Strong communication, stakeholder management, and project delivery skills, with the ability to explain technical concepts to non-technical audiences.