Commercial trainee 2024

• 9-12 years of Data Engineering
• Experience building Data pipelines and
• Experience with SQL and NoSQL modern data
• Experience in implementing Data Pipelines leveraging Google Cloud products such as Cloud BigQuery, GCS, Cloud DataFlow, Cloud Pub/Sub, Cloud
• Implementation/migration of ODS data from on-prem to GCP (using Google BigQuery, DataFlow, DataProc )
• Act as a subject matter expert in data engineering and GCP data
• Work with Data teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud
• Experience working with Google Data Products (BigQuery, Dataflow, Dataproc, Dataprep, PubSub).
• Work with Agile and DevOps techniques and implementation approaches in the
• Build Data pipelines in setting up new Data warehouse environments and data
• Be required to build and deliver Data solutions using GCP products and
• Responsible for extract, transform and load (ETL) processes and the creation of applications that can connect to remote ;Including bringing ODS data into environments such as BigQuery on Google Cloud Management
• Experience extracting data from a variety of sources, and a desire to expand those skills (working knowledge in SQL and Spark is mandatory)
• Excellent Data Analysis Must be comfortable with querying and analyzing large amount of data on Hadoop HDFS using Hive and ;
• GCP certifications
• Strong work ethic and ability to handle high pressure situations with minimum
• Team player, with proven ability to work under pressure and within tight
• Ability to multi-task and prioritize work load
• Strong verbal and written communication

Skills : python,,python