Int Data Engineer with GCP, Python and SQL experience to support data driven projects for our large telco client -
Duration - 6 Months
Location - Fully Remote
Description :
As a Data Engineer, you will be responsible for designing, building and running the data driven applications which enable innovative, customer centric digital experiences.
You will be working as part of a friendly, cross-discipline agile team who helps each other solve problems across all functions.
As a custodian of customer trust, you will employ best practice in development, security, accessibility and design to achieve the highest quality of service for our customers.
Our development team uses a range of technologies to get the job done : Google Cloud Platform(GCP), PySpark, Dataflow, BigQuery, Looker Studio, Google Cloud Scheduler, Shell scripting, Pubsub, Elasticsearch, LLMs, Gemini Pro, GitHub, Terraform etc to provide a modern, easy to use data pipeline.
You will be part of the team building a data pipeline to transfer the data from our enterprise data lake for enabling our AI use cases.
You're the missing piece of the puzzle
A passion for data
Interest and ability to learn new languages & technologies as needed
Familiar with the execution sequence of ETL Flows using Google Platforms
Experience with Spark, Beam, Airflow, Cloud SQL, BigQuery, MSSQL
Basic understanding of data warehouse, data lake, OLAP and OLTP applications
Must Haves
- GCP Data Engineering Experience ( BigQuery, PySpark, Dataflow, Looker etc)
- Python
Nice to have
- G Suite
- Tableau
- Unix Scripting
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