Vacancy expired!
- 9+ years direct experience working in Enterprise Data Warehouse technologies
- 4+ years in a customer facing role working with enterprise clients and as Solution Architect
- Experience in design, architecture and implementation of Data warehouses, data pipelines and data lakes on Google Cloud Platform using data services like GCS, BQ, Pub/Sub, DataProc, Data Studio, Dataflow, CloudSQL.
- Experience designing and deploying large scale distributed data processing systems with few technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis,
- Hadoop, Spark, HBase, Veica, Netezza, Teradata, Tableau, Qlik or MicroStrategy.
- Experience with architecting, implementing and/or maintaining technical solutions around backups, recovery, High availability and DR on Cloud (Google Cloud Platform preferred)
- Customer facing migration experience, including service discovery, assessment, planning, execution,
- and operations.
- Demonstrated excellent communication, presentation, and problem-solving skills.
- Experience in enterprise customer management.
- Hands-on experience in analyzing, re-architecting and re-platforming on-premise data warehouses to data platforms on Google Cloud Platform cloud using Google Cloud Platform/3rd party services.
- Experience in designing and building data pipelines within a hybrid big data architecture using Java, Python, Scala & Google Cloud Platform Native tools.
- Hands-on Orchestrating and scheduling Data pipelines using Composer, Airflow.
- Experience in performing detail assessments of current state data platforms and creating an appropriate transition path to Google Cloud Platform cloud
- Google Cloud Platform Professional Data Engineer certification is a must
Vacancy expired!