Data Analyst - ETL

About Welvaart

At Welvaart, we create technology solutions that put people at the center.
Our close leadership style and flexible culture of growth empower our teams and elevate the quality of our delivery. We combine rigor, innovation, and empathy to drive projects that transform businesses and build lasting relationships of trust.

We complement this vision with a performance‑driven Digital Marketing offering, helping companies strengthen their visibility, enhance their online presence, and accelerate growth through smart, measurable strategies.

Project

We are looking for an experienced Analytics Engineer to join our client growing Data & Analytics team. In this highly visible and impactful role, you will be responsible for designing, building, and maintaining the data infrastructure that supports business-critical analytics and decision-making.

Role

• Design, develop, and maintain Snowflake data models, pipelines, and warehouse objects.
• Build and optimize data loading strategies, including delta processing, incremental loads, and MERGE operations.
• Develop, maintain, and enhance SQL-based data transformations using DDL, DML, and DQL.
• Collaborate with business and operations teams to understand requirements and deliver scalable analytics solutions.
• Lead data engineering workstreams across multiple CRM platform migration projects.
• Ensure data accuracy, consistency, and integrity throughout the data lifecycle.
• Maintain technical documentation, metadata standards, and data catalog assets.
• Develop and maintain Python-based automation scripts for data processing, transformation, and pipeline orchestration.
• Partner with BI and Analytics teams to ensure high-quality and reliable data for reporting and advanced analytics initiatives.
• Contribute to continuous improvement of data architecture, processes, and governance practices.

We are looking for

• 3-5 years of experience in Data Engineering, Analytics Engineering, or a related field.
• Advanced SQL expertise, including database design, optimization, DDL, DML, and DQL.
• Strong hands-on experience with Snowflake, including Streams, Tasks, MERGE operations, clustering, and performance optimization.
• Proficiency in Python for data automation, transformation, and pipeline development.
• Experience working with CRM data models and supporting data migration initiatives.
• Ability to work effectively with both technical and non-technical stakeholders.
• Strong analytical mindset with a focus on data quality, validation, and governance.
• Excellent problem-solving, communication, and organizational skills.
• Successful completion of a background check may be required due to client contractual obligations.

What you can discover with us?

• Be part of a tech start-up
• Different scopes of project in different sectors
• Structure of fairness and equity salary (Consultant Profile)
• Training & Certification
• Career Path management
• More than 30 Partnerships

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