We are seeking a skilled Data Engineer to design, deploy, and manage robust data pipelines across hybrid cloud environments. The ideal candidate will combine expertise in Python, AWS services, and enterprise cloud data platforms to build scalable, secure solutions for structured and unstructured data at enterprise scale.
Key Responsibilities
- Design and implement complex ETL/ELT workflows for diverse data sources both on-prem and Cloud platform (AWS)
- Build and optimize data lake architectures on Cloudera Data Platform (CDP)
- Develop data models in Snowflake cloud warehouse and CDP environments
- Collaborate with analysts to enable advanced analytics on data lake assets
- Ensure security/governance compliance for sensitive data at scale
Technical Expertise Required
- Python: Advanced scripting for data processing, API integration, and automation
- AWS : Amazon S3,
AWS Glue
- Data Platforms:
- Cloudera Data Platform (CDP) for Hadoop/Spark ecosystems
- Snowflake cloud data warehouse architecture
- Storage Solutions: Data lake design (S3/ADLS), structured/unstructured data optimization
- Version Control: Git Hub collaboration
- Cloud Services: AWS/Azure storage integration with CDP/Snowflake
Soft Skills
- Problem-solv
- ing for hybrid cloud data challenges
- Cross-functional collaboration with data scientists and analysts
- Explicit communication of complex technical solutions
Nice-to-Have Qualifications
- Certifications: Cloudera CCP, Snow Pro, Red Hat Open Shift
- Experience with streaming platforms (Flink, Kafka Streams)