QT-SUL-11-477
Consultant Lead: ETL
We are seeking a Cloud Leader for the role of Data Engineering Junior Architect with 7 to 12 years of experience. The ideal candidate will play a pivotal role in designing and implementing data architecture and pipelines in cloud environments. This position requires a deep understanding of data engineering principles, cloud technologies, and a collaborative mindset to drive data-centric initiatives across the organization. The successful candidate will work closely with data scientists, analysts, and other stakeholders to leverage data for informed decision-making.
Role
Key Responsibilities:
* Design and develop scalable data pipelines leveraging cloud technologies.
* Collaborate with cross-functional teams to gather requirements and translate them into data architecture solutions.
* Implement best practices for data management, including data governance and compliance standards.
* Monitor and optimize data workflows for performance and efficiency.
* Lead the effort to integrate diverse data sources and ensure data quality.
* Stay updated with emerging trends and technologies in cloud and data engineering.
* Mentor and guide junior team members in data engineering principles and practices.
Skills and Tools Required:
* Strong experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
* Proficiency in data modeling, ETL processes, and data warehousing concepts.
* Knowledge of programming languages such as Python, Java, or Scala.
* Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
* Experience with database technologies, both SQL and NoSQL (e.g., PostgreSQL, MongoDB).
* Understanding of data governance frameworks and best practices.
* Strong problem-solving and analytical skills.
* Excellent communication and collaboration abilities.