We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company's projects!
Our aim?
To always be one step ahead.
Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!
Job Description Project - the aim you'll have We're looking for a skilled Senior Data Engineer to join our team and work with one of our inspiring US clients.
This suite of data-driven SaaS solutions is designed for the modern in-house marketer.
Originating from a network of award-winning agencies, the platform empowers marketers to drive both business and brand impact by providing them with the tools they need to succeed.
If you enjoy working with cutting-edge technologies in a fast-paced environment this opportunity is for you!
Qualifications Expectations - the experience you need 5+ years of proven experience in Data Engineering, with a focus on building and maintaining data platforms and pipelines.Deep understanding of data engineering principles and modern data platforms, including Snowflake, BigQuery, and AWS.Excellent problem-solving skills and attention to detail, with the ability to troubleshoot and resolve data related issues efficiently.Strong written and verbal communication skills, enabling effective collaboration with technical and non-technical stakeholders.Bachelor's degree in computer science or a related field.Experience in digital advertising, identity graphs, and audience insights, providing a strong foundation for understanding the business needs and challenges in these areas.
(Nice to have)What you will do Lead the design and implementation of scalable data pipelines using Snowflake, AWS, and BigQuery to support data integration needs across the organization.Create and manage automated workflows for data processing, ensuring that data is ready for analysis and insights.Collaborate with cross-functional teams to build and optimize digital consumer identities, graphs, and audience insights, enhancing data-driven decision-making.Monitor and optimize data pipeline performance, ensuring reliability and efficiency in data processing and storage.Work closely with product managers, data scientists, and external vendors to understand data requirements and deliver robust solutions.Maintain thorough documentation of data architecture, workflows, and best practices, ensuring knowledge sharing and adherence to standards.We are accepting applications from LATAM countries
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