Remote opportunity at
KeyrusSenior Data Engineer (GCP)
Keyrus is seeking a remote Senior Data Engineer to join its international team of specialists. With a presence across 28 countries and a history spanning more…
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About This Role
Keyrus is seeking a remote Senior Data Engineer to join its international team of specialists. With a presence across 28 countries and a history spanning more than thirty years, the company focuses on designing foundational data systems that embed intelligence into core business operations. This position requires someone who can merge architectural vision with technical depth and consulting expertise to turn complicated business hurdles into scalable data solutions. This role…
Job Description
Keyrus is seeking a remote Senior Data Engineer to join its international team of specialists. With a presence across 28 countries and a history spanning more than thirty years, the company focuses on designing foundational data systems that embed intelligence into core business operations. This position requires someone who can merge architectural vision with technical depth and consulting expertise to turn complicated business hurdles into scalable data solutions.
This role suits an analytical professional who enjoys navigating complex environments, establishing technical standards, and bridging the gap between technical teams and business stakeholders. The ideal candidate balances pragmatic problem-solving with innovation while collaborating closely with Analytics, Data Science, and Product groups.
Day-to-day responsibilities center around building, maintaining, and refining robust data pipelines, orchestrating ETL and ELT processes, and optimizing analytical environments. Candidates will handle data ingestion from APIs, files, and ERP systems while ensuring stringent standards for security, governance, and quality across the entire data lifecycle.
Responsibilities
- Design, build, and maintain efficient, scalable data pipelines within GCP with a primary emphasis on BigQuery
- Implement and manage data ingestion processes coming from APIs, files, and ERP systems
- Construct, optimize, and document dimensional data models and analytical solutions inside a Lakehouse architecture
- Orchestrate and monitor ETL or ELT workflows utilizing Informatica Cloud
- Partner with Product, Analytics, and Data Science teams to enable data-driven initiatives
- Maintain high standards of data security, governance, and quality throughout the data lifecycle
- Apply solid data engineering practices including version control, automated testing, and automation
- Tune query performance and optimize analytical environments
- Manage stakeholder expectations and handle demands from leadership and business units
- Contribute technically to the advancement of data architecture, processes, and engineering practices
Requirements
- Solid hands-on experience with Google Cloud Platform and mastery of BigQuery
- Practical background using Informatica Cloud for data pipeline orchestration
- Experience working with DataStage and Apache Spark running in Databricks environments
- Familiarity with Lakehouse analytical architectures
- Demonstrated experience in dimensional modeling and Data Warehousing
- Background in integrating and ingesting data derived from APIs, files, and ERP platforms
- Advanced SQL skills alongside expertise in performance tuning and optimization
- Familiarity with data security, quality, and governance protocols
- Prior exposure to complex projects requiring collaboration across multiple departments and stakeholder groups
Qualifications
- Knowledge of Microsoft Analysis Services
- Familiarity with graph databases, specifically Neo4j
- Experience operating in hybrid or multi-cloud environments
- Background in real-time data streaming, processing, and integration
- Understanding of agile methodologies
- Previous exposure to DevOps practices tailored for Data Engineering
Core Skills
Frequently Asked Questions
What is the location or remote status for this job?
The position is remote.
What is the employment type?
The posting specifies that this is a full-time position.
What salary is offered for this role?
The job posting does not specify a salary.
What core technical platforms are required?
Candidates must have solid experience with Google Cloud Platform, mastery of BigQuery, experience with Informatica Cloud, and familiarity with DataStage and Apache Spark running on Databricks.
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