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Lead Big Data Solutions Architect
2 weeks ago
We are seeking a seasoned Big Data Solutions Architect to design, develop, and optimize data pipelines and ETL workflows.
About the Role:
- The successful candidate will have strong hands-on experience with big data technologies such as Apache Hadoop, Spark, and PySpark.
- They will be proficient in Scala, Python, and SQL, and have expertise in cloud-based big data solutions on GCP and Azure.
- This role involves working closely with cross-functional teams to deliver scalable data solutions that meet business requirements.
Responsibilities:
- Design and implement robust data pipelines using industry-leading tools and technologies.
- Collaborate with data engineers to develop and maintain large-scale data processing systems.
- Leverage your expertise in data analytics and mining techniques to drive business insights and inform key decisions.
- Provide guidance and support to junior team members to ensure they have the skills and knowledge required to succeed in their roles.
Requirements:
- MSc or equivalent in Computer Science or related field.
- 5+ years of experience in big data engineering, architecture, or related field.
- Strong understanding of cloud platforms, containerization, and DevOps principles.
Benefits:
- A competitive salary package.
- An opportunity to work on cutting-edge projects with a talented team.
- Ongoing training and professional development opportunities.