
Highly Skilled Cloud Data Architect
2 days ago
We are looking for a highly skilled data engineer to design and build scalable data pipelines using industry-leading technologies.
You will work closely with cross-functional teams, including analysts, data scientists, and engineers, to deliver high-quality solutions that meet the needs of our business. Your expertise in cloud-based data platforms, big data ecosystems, and data modeling will be essential in driving the success of our data-driven initiatives.
- Key Responsibilities:
- Design and Build Scalable Data Pipelines: Develop ETL/ELT workflows using AWS Glue, Airflow, Databricks, StreamSets, and Snowflake to ensure efficient data processing.
- Cloud & Big Data Solutions: Architect scalable platforms with AWS (Redshift, Lambda, S3, Athena) and leverage Spark, Kafka, Hive for processing to meet business demands.
- Data Modeling & Governance: Create robust schemas, ensure compliance with regulations (GDPR/HIPAA), and enforce security best practices to protect sensitive data.
- Leadership & Collaboration: Mentor junior engineers, collaborate with analysts & data scientists, and act as a technical architect in solution delivery to drive innovation.
- Performance & Security: Optimize queries, implement Role-Based Access Control (RBAC) & Identity and Access Management (IAM), and ensure disaster recovery/high availability standards to minimize downtime.
Requirements include a strong background in data engineering, with expertise in cloud-based data platforms, big data ecosystems, and data modeling. Ability to design, build, and deploy scalable data pipelines using industry-leading technologies is also required.
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