Data Engineer 2 - 19364
Data Engineer 2 - 19364
Posted on :
18-05-2025
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1 Vacancy
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Job 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 crossdiscipline 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 are a fast learner highly technical passionate data engineer looking to work within a team of multidisciplinary experts to improve your craft and contribute to the data development practice.
Heres how
Learn new skills & advance your data development practice
Design develop test deploy maintain and improve the analytics pipeline
Assist in evaluating technology choices and rapidly test solutions
Assist the outcome teams in understanding how to best measure their web properties
Collaborate closely with multiple team in an agile environment
Youre 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
Greattohaves
Intermediate level candidates with 46 years of relevant experience
Experience with Big data related tools and technologies
Experience with SQL Unix Shell scripting
Experience with data visualization tools such as Tableau Domo Looker
You will be working as part of a friendly crossdiscipline 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 are a fast learner highly technical passionate data engineer looking to work within a team of multidisciplinary experts to improve your craft and contribute to the data development practice.
Heres how
Learn new skills & advance your data development practice
Design develop test deploy maintain and improve the analytics pipeline
Assist in evaluating technology choices and rapidly test solutions
Assist the outcome teams in understanding how to best measure their web properties
Collaborate closely with multiple team in an agile environment
Youre 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
Greattohaves
Intermediate level candidates with 46 years of relevant experience
Experience with Big data related tools and technologies
Experience with SQL Unix Shell scripting
Experience with data visualization tools such as Tableau Domo Looker
Employment Type
Hourly
Key Skills
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