Cloud Data Solutions Architect
6 days ago
We are seeking a highly skilled Cloud Data Platform Engineer to join our team at Global Channel Management. This role will involve designing, developing, and delivering cloud-based data storage solutions and automation pipelines to migrate data sets from on-premises to cloud platforms.
The ideal candidate will have 5+ years of experience in implementing data applications or data platforms with Big Data/Hadoop, Python/Java/Spark full stack, etc. They will also have strong support experience of Big Data technologies in Hadoop ecosystem Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos.
Key Responsibilities:- Design, develop, and deliver cloud datastore solutions and develop automation pipelines to migrate data sets from On-prem to Cloud platforms.
- Provision secure datastores and enable them with required security controls including encryption, masking, certificate/keys rotation etc.
- Collaborate with developers, analysts, various system administrators to identify business requirements in designing efficient datastore solutions and interfaces.
- Identify and document all system constraints, implications, and consequences of various proposed system changes.
- Reviews technical documentation to guide system users and to assist with the ongoing operation, maintenance, and development of the system.
- Master's or Bachelor's degree in computer science or related discipline.
- 5+ year support experience of Big Data technologies in Hadoop ecosystem Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos.
- 5+ years experience with ETL/ELT tools such as AWS Glue ETL, Talend, Datastage etc.
- Experience with Jira and Agile methodology is a plus;
- Experience with understanding DevOps or CI/CD process w.r.t to infrastructure management activities
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