Senior Data Analytics Engineer

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Kognitiv Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

☁️ SaaS

🤝 B2B

Consulting • SaaS • B2B

Kognitiv Inc. is a consulting firm that specializes in providing services and solutions for Workday®, an enterprise management cloud solution. The company focuses on helping organizations optimize their Workday implementations, offering services such as project management, change management, platform optimization, and advisory services. Kognitiv is dedicated to enhancing clients' post-implementation experience, ensuring efficient system utilization and compliance. They provide solutions like custom reporting tools, staff augmentation, and integration monitoring, among others. Kognitiv's products like Rooster offer scheduling solutions integrated with Workday®, and their services aim to empower organizations with efficient, streamlined processes.

📋 Description

• Build and maintain scalable, secure ETL/ELT pipelines, ingestion systems, and transformation workflows across distributed cloud data warehouses. • Optimise for query performance, cost, and scalability as data volumes grow. • Establish standard data schemas, dimensional modeling structures, and automated validation tests to enforce data accuracy, consistency, and downstream reliability. • Manage and optimize backend data layers feeding business intelligence systems, reporting engines, and analytical discovery platforms. • Conduct query performance tuning, data partitioning analysis, and infrastructure scaling to control computational overhead and latency within cloud data lakes. • Partner with business units, IT leadership, and software engineers to translate business requirements into sustainable data engineering architectures.

🎯 Requirements

• Degree in Data Engineering, Computer Science, Mathematics, Statistics, or an equivalent technical field, or validated professional competency. • Documented, high-level mastery of advanced data transformation languages, cloud-native enterprise data warehouses (such as Google BigQuery), and scalable transformation tools. • Proven technical capacity to manage, structure, and optimize semantic data models specifically tailored for advanced analytics and visualization applications (such as Google Data Studio (Looker) Apache Superset, Workday Prism, or equivalent). • High proficiency in complex SQL dialect structures and professional backend data processing scripts (e.g., Python).

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities