Senior Data Engineer for High-Performance Cloud Platforms
7 days ago
We're seeking a highly skilled Senior Data Engineer to join our team in Alberta, Canada. With a strong background in cloud-based data platforms and expertise in AWS EMR, you'll play a key role in the implementation and support of high-performance data platforms.
About the RoleAs a Senior Data Engineer, you'll be responsible for leading the design and implementation of EMR/Spark workloads using Python, ensuring performance, security, and reliability. You'll collaborate with cross-functional teams to support data-driven initiatives, mentor junior team members, and promote best practices.
Key Responsibilities- Design and implement high-performance EMR/Spark workloads using Python
- Collaborate with cross-functional teams to support data-driven initiatives
- Mentor junior team members and promote best practices
To succeed in this role, you'll need:
- Bachelor's degree in computer science, information systems, or engineering
- 8-10 years of IT experience in application support or development
- Strong experience in managing EMR workloads, including configurations
- Experience with SPARK and NoSQL-related database technologies
Additionally, we're looking for candidates with:
- Proficiency in building data analytics solutions on AWS Cloud
- Thorough understanding of replication strategies and HA protocols
- Experience with data governance and data lineage
S&P Global is a world-leading provider of credit ratings, benchmarks, analytics, and workflow solutions. We help organizations navigate the economic landscape and make informed decisions.
What We OfferWe offer a competitive salary of $145,000 - $170,000 per year, based on experience, plus additional benefits and perks.
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