- 10 years of experience in big data, database and data warehouse architecture and delivery
- Solution/technical architecture in the cloud
- Big Data/analytics/information analysis/database management in the cloud
- IoT/event-driven/microservices in the cloud
- Experience with private and public cloud architectures, pros/cons, and migration considerations.
- Cloud migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc.
- Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
- Familiarity with Networking, Windows/Linux virtual machines, Container, Storage, ELB, AutoScaling is a plus
Nice-to-Have Certifications
Nice-to-Have Skills/Qualifications:
- DevOps on an Azure platform
- Experience developing and deploying ETL solutions on Azure
- Strong in Power BI, C##, Spark, PySpark, Unix shell/Perl scripting
- Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.
Professional Skill Requirements
- Proven ability to build, manage and foster a team-oriented environment
- Proven ability to work creatively and analytically in a problem-solving environment
- Desire to work in an information systems environment
- Excellent communication (written and oral) and interpersonal skills
- Excellent leadership and management skills
- Excellent organizational, multi-tasking, and time-management skills
- Proven ability to work independently
#J-18808-Ljbffr