Product Engineering & Digital Solutions Partner for Innovative Startups and Enterprises
DevOps • Outsourced Product Engineering • Machine Learning • Infrastructure Automation • Software Engineering
201 - 500
May 4
Product Engineering & Digital Solutions Partner for Innovative Startups and Enterprises
DevOps • Outsourced Product Engineering • Machine Learning • Infrastructure Automation • Software Engineering
201 - 500
• Construct and manage data pipelines that clean, transform, and aggregate data from various sources, utilizing GCP services like BigQuery, Dataflow, and Pub/Sub. • Develop data models to support both operational and analytical reporting needs, ensuring scalability and performance. • Deliver high-quality code and implement process improvements, including automation of manual tasks and optimization of data delivery. • Collaborate with various teams to understand data requirements and integrate solutions effectively, promoting a data-driven culture. • Communicate technical details effectively to the data team and contribute to data governance and documentation efforts.
• Proficient in SQL and programming languages such as Java or Python. • Strong expertise in data modeling and familiarity with data orchestration tools like Airflow. • Experience with GCP data engineering services, including BigQuery, Dataflow, Pub/Sub, and Cloud Composer. • Understanding of both relational and non-relational databases. • Familiarity with DevOps methodologies. • Experience handling SAP data and integrating it within cloud-based data solutions. • Exposure to data warehousing, big data technologies, and machine learning frameworks.
• We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly • Flat hierarchy with fast decision making and a startup-oriented “get things done” culture • A strong, fun & positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse & authentic environment • Currently, all interviews and onboarding processes at Velotio are being carried out remotely through virtual meetings.
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