Talent Acquisition Leader | Architect of High-Performing Global Teams | Software Development & Tech Hiring Strategist
Company : Celebal Technologies
Location : Edmonton, Calgary Canada
Position Overview
Celebal Technologies is seeking an experienced Senior Data Engineer to design, build, and maintain scalable data Collider infrastructure and systems. In this role, you will enable the collection, storage, and analysis of large and complex datasets while ensuring data is accessible, reliable, secure and high quality. You will collaborate closely with data scientists, analysts, architects and engineering teams to deliver robust data solutions that support analytics and business decision‑making.
Key Responsibilities
- Data Pipeline Development : Design, develop, and maintain robust, scalable and efficient data pipelines for processing large datasets.
- Data Integration : Integrate data from diverse sources, including databases, APIs and third‑party systems, ensuring data consistency and quality.
- Data Warehousing : Design and implement data warehousing solutions to support analytics, reporting and business intelligence.
- Performance Optimization : Optimize and tune data processing systems for performance, scalability and cost efficiency.
- Data Quality & Governance : Implement data quality checks, monitoring and governance practices to ensure data accuracy, integrity and compliance.
- Continuous Improvement : Identify opportunities to enhance data quality, optimize pipelines and improve overall data infrastructure efficiency.
- Collaboration : Work closely with data architects, data scientists, analysts and stakeholders to understand data requirements and deliver effective solutions.
- Documentation : Maintain clear, accurate, and comprehensive documentation of data architectures, pipelines and processes.
- Cross‑Functional Support : Collaborate with application, security, infrastructure and operational teams to resolve design, implementation and operational issues.
Knowledge, Skills planting and Abilities
Strong experience in data modeling, database design, data storage and data analytics .Proficiency in Python, Java or Scala .Hands‑on experience with data processing frameworks such as Apache Spark, Hadoop or similar technologies.Advanced knowledge of SQL and experience with relational databases such as MySQL .Experience designing and supporting ETL architectures using Oracle, SQL Server and MySQL across multiple operating systems.Experience with cloud platforms drôle preferable Microsoft Azure .Knowledge of the ITIL service delivery framework , including change management and best practices.Familiarity with data governance principles and practices .Strong analytical, problem‑solving, and troubleshooting skills.Excellent verbal and written communication skills with strong attention to detail.Continuous learning mindset with a desire to stay current with emerging data engineering and analytics trends.Preferred Qualifications
Bachelor’s degree Computer Science, Information Technology or a related field.7+ years of experience in data engineering or a related role.Knowledge of machine learning concepts, techniques and tools .Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Information Technology
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