Python Job: GCP Cloud - Melbourne

• Around 8 to 11 years of experience with a strong knowledge in migrating on premise ETLs to Google Cloud Platform (GCP) –
• 3 to 5 years using cloud native tools. Hands on experience in Hadoop development or equavlent and Analytics, python.
• Hands on experience in Design, Development, Implementation of Data Warehousing in ETL process.
• Experience in IT data analytics projects, hands on experience in migrating on premise ETLs to Google Cloud Platform (GCP) using cloud native tools such as BIG query, Google Cloud Storage, Composer, Dataflow, Cloud Functions. GCP certified Associate Cloud Engineer.
• Practical experience in Big Data application development involving various data processing techniques for Data Ingestion, Data Modelling In-Stream data processing and Batch Analytics using various distributions of Hadoop and its ecosystem tools like HDFS, HIVE, PIG, Sqoop, Spark.
• Practical understanding of the Data modelling (Dimensional & Relational), Performance Tuning and debugging.
• Extensive experience in the Data Warehousing using Data Extraction, Data Transformation, Data Loading and business intelligence technologies using ELT design and development in Oracle Data Integrator 12C and 11g or equivalent technology
• Working experience in CI /CD using Gitlab and Jenkins.
• Document all the work implemented using Confluence and track all requests and changes using Jira.
• Involved in both technical and managerial activities and experience in delivering projects under Agile/Scrum environment

Job Type: Contract
Contract length: 6 months

Salary: $800.00 – $900.00 per day

Schedule:

• 8 hour shift

Supplemental pay types:

• Overtime pay

Ability to commute/relocate:

• Melbourne VIC: Reliably commute or planning to relocate before starting work (Required)

Work Authorisation:

• Australia (Required)