Senior Data Engineer – GCP

🕒 April 29

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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🤝 B2B

B2B • Data Analytics • Consulting

Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.

📋 Description

• Design, develop, and maintain robust, scalable, and efficient data pipelines on Google Cloud Platform (GCP), with a strong focus on BigQuery. • Proven experience managing cross-functional teams, preferably with a focus on data engineering. • Ability to negotiate and manage requests, including handling client escalations. • Implement and manage data ingestion processes from ERP systems, non-systematic files, and APIs. • Create, optimize, and document dimensional data models and analytical solutions within a Lakehouse architecture. • Collaborate with analytics, data science, and product teams to enable advanced analyses. • Ensure data quality, governance, and security throughout the data lifecycle. • Orchestrate and monitor ETL/ELT processes using Informatica Cloud. • Implement data engineering best practices, including versioning, automation, and testing.

🎯 Requirements

• Proven experience with Google Cloud Platform (GCP), with strong expertise in BigQuery. • Solid experience with Informatica Cloud for orchestrating data pipelines. • Strong knowledge of analytics environments based on Lakehouse architecture. • Proficiency in dimensional modeling for Data Warehouses. • Experience ingesting data from ERP systems, non-systematic files, and APIs. • Advanced SQL skills and knowledge of performance tuning best practices. • Experience ensuring data governance and data security.

🏖️ Benefits

• Keyrus believes in diversity and inclusion. • We encourage everyone to participate in our hiring process, regardless of gender, age, race, or religion. • We do not tolerate any form of discrimination.