Senior Data Engineer

🔥 14 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🤝 B2B

💼 Consulting

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 in a GCP environment, with a focus on BigQuery • Implement and manage data ingestion processes from ERP systems, files, and APIs • Create, optimize, and document dimensional data models and analytical solutions within a Lakehouse architecture • Orchestrate and monitor ETL/ELT processes using Informatica Cloud • Partner with Analytics, Data Science, and Product teams to enable data-driven analyses and solutions • Ensure data quality, governance, and security throughout the data lifecycle • Apply data engineering best practices, including version control, automation, and testing • Optimize queries and the performance of analytical environments • Manage requests and align expectations with diverse stakeholders, including leadership and business teams • Provide technical contributions to the evolution of data practices, processes, and architecture

🎯 Requirements

• Solid experience with Google Cloud Platform (GCP) • Advanced proficiency in BigQuery • Experience with Informatica Cloud for data pipeline orchestration • Knowledge of Lakehouse-based analytical architectures • Experience with dimensional modeling and data warehousing • Experience ingesting and integrating data from ERPs, files, and APIs • Advanced SQL skills, including query optimization best practices and performance tuning • Experience with data governance, quality, and security • Experience working on complex projects and collaborating with different teams and stakeholders • Knowledge of Microsoft Analysis Services (a plus) • Experience with graph databases, especially Neo4j (a plus) • Experience in multi-cloud or hybrid environments (a plus) • Experience with real-time data integration and processing (streaming) (a plus) • Knowledge of Agile methodologies (a plus) • Experience applying DevOps practices to data engineering (a plus) • Excellent communication skills with technical and non-technical audiences • Ability to translate business needs into practical, scalable solutions • Ability to influence decisions and build trusted relationships with stakeholders • Analytical, problem-solving mindset

🏖️ Benefits

• Develop skills and expertise through projects and business challenges • Collaboration, knowledge sharing, and continuous improvement • Connect with people from around the world and exchange knowledge • Work on high-quality projects • Multicultural and diverse work environment • Work on projects involving AI, data, and business transformation