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Data Infrastructure Specialist
4 weeks ago
About the Role:
We are seeking a highly skilled Data Engineer to join our team at Publicis Canada. As a Data Engineer, you will play a crucial role in designing, building, and maintaining our data infrastructure. You will work closely with data scientists, analysts, and other stakeholders to ensure that our data pipelines are efficient, scalable, and reliable.
Key Responsibilities:
- Design and develop scalable data pipelines and ETL processes to extract, transform, and load data from various sources.
- Build t build and optimize data models for use in analytics, reporting, and machine learning projects using advanced analytical techniques.
- Implement data quality checks and monitoring systems to ensure data integrity and maintain high-quality data standards.
- Collaborate with cross-functional teams to understand data requirements and provide efficient solutions.
- Manage and optimize database systems and data warehouses to improve performance and scalability.
- Implement and maintain data security and compliance measures to protect sensitive information.
- Evaluate and integrate new data management technologies and tools to stay up-to-date with industry trends.
- Document data architectures, pipelines, and processes to ensure knowledge sharing and transfer within the team.
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- At least 1 year of professional experience as a Data Engineer or a related role.
- Strong programming skills in Python, Java, or Scala, with experience in developing scalable and efficient code.
- Extensive experience with SQL and working with relational databases, including data modeling and query optimization.
- Proficiency in building and optimizing big data pipelines, architectures, and data sets using Hadoop, Spark, Hive, and Kafka.
- Familiarity with cloud platforms (e.g., GCP, Azure) and their data services, including data warehousing and lakehouse architecture.
- Knowledge of data modeling, data warehousing, and dimensional modeling techniques to design and implement data marts and data warehouses.
- Understanding of data privacy and security best practices to ensure compliance with regulations and standards.
- Strong problem-solving skills and attention to detail to resolve complex issues and improve overall system performance.
Salary Range:$140,000 - $180,000 per annum, depending on experience and qualifications.
Why Join Us?
- Work with a world-class team of data professionals who share your passion for innovation and excellence.
- Contribute to cutting-edge projects that drive business growth and transformation.
- Pursue ongoing learning and development opportunities to enhance your skills and career prospects.
- Enjoy a dynamic and supportive work environment that fosters collaboration, creativity, and innovation.
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