As a Customer Data Engineer, you will be a part of a strong, energetic, and fast-growing global team. You will be an integral part of clients' onboarding and ongoing data requests and projects. You will be working closely with internal PM and CSM teams as well as interacting directly with clients' data teams across different business verticals. Your core responsibilities will involve playing an active role in collaborating with internal teams to construct tailored data transformations and manipulations while working with top-notch technology (Cloud tech etc.). The ideal candidate is an SQL whiz with a strong work ethic, robust analytical and technical capabilities, and highly effective time management skills. We are looking for a master multi-tasker who thrives in challenging, fast-paced environments, with agility and ease.
The Customer Data Engineer is a position that brings with it an excellent opportunity to learn and grow within a rapidly expanding company on the cutting edge of Martech.
Responsibilities: Develop and support a wide range of data transformations and migrations. Construct custom ETL processes: Design and implementation of data pipelines and data marts, access versatile data sources, and apply data quality measures. Investigate data mismatches and apply solutions. Work side by side and support the Customer Success teams in order to meet customer business needs. Interact with clients to understand business needs and collaborate on project scopes, planning, and execution. Requirements: Graduate with a degree in Industrial Engineering and Management or a similar major. Experience with databases and SQL - a Must. Outstanding technical and analytical skills. Highly motivated with an exceptional work ethic. High attention to detail with an ability to work on multiple projects simultaneously. Strong interpersonal and communication skills. Quick, self-learning capabilities and creativity in problem-solving. Preferred: Familiarity with Python. Familiarity with Airflow, ETL tools, Snowflake, and MSSQL. Hands-on with VCS (Git).
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