Data Engineering Lead Position with Strong Technical Expertise
1 week geleden
We are seeking a highly skilled Data Engineering Lead to join our team at Metyis. This is an exceptional opportunity for an experienced professional to drive impactful change in our clients' businesses.
Key Responsibilities- Collaborate with senior stakeholders to develop and implement technical roadmaps that align with overall business objectives.
- Lead the development of digital development and operations using Python, Spark, RESTful API, and Microsoft Azure Cloud.
- Steer the technical excellence of applications, ensuring consistency with relevant digital frameworks, best practices, and standards.
- Coach and enable other product team members to deliver high-quality products.
- Deliver data platforms, insights, and collaboration-driven data products, such as recommendation systems, data lakes/hubs, and dashboards.
- 5-8 years of experience in a similar role, with expertise in developing and deploying ETL solutions on Azure, GCP, or AWS.
- Solid knowledge of data warehousing principles, concepts, and best practices.
- Understanding of modern cloud-based architecture and experience with setting up automated testing frameworks.
- Advanced SQL, data transformation, and data profiling skills.
- Hands-on experience with Azure: Data Factory, Databricks, Synapse (DWH), Azure Functions, App logic, and other data analytics services, including streaming.
- Experience with Airflow, Kubernetes, and Great expectations is a plus.
- Programming languages: Python (PySpark), scripting languages like Bash.
The estimated salary for this position is $120,000 - $180,000 per year, depending on location and experience. In addition to a competitive salary, we offer a comprehensive benefits package, including health insurance, retirement plans, and opportunities for professional growth and development.
Metyis is committed to fostering a diverse and inclusive work environment. We welcome talented individuals from all backgrounds and are proud to be an equal opportunities employer.
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