SGI
GCP Data Engineer (Python/BigQuery/Snowflake)
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GCP Data Engineer (Python/BigQuery/Snowflake)
Remote - 6 months+ extensions - Anywhere in EU
MUST BE AN EXPERT IN GCP
Pay to candidate no higher than €75 per hour. / €600 a day
Our client is a fast-growing company founded by former Google Cloud leaders, architects, and engineers. They are seeking candidates with significant experience in Google Cloud to join the team. Their engagements aim to eliminate obstacles, reduce risk, and accelerate timelines for customers transitioning to Google and seeking assistance with data and application modernization. They embed within customer teams to provide strategic guidance, facilitate technology decisions, and execute projects in a collaborative, co-development style.
What you will do...
As a member of our Data Engineering team, you will be working with fast-paced innovative companies, leveraging Cloud as the key driver of their transformation. They will look at you as their trusted advisor, someone they can rely on and who will be there to help them along their journey on Google Cloud. You will be expected to cover a large spectrum of technology topics like ETL/ELT, Data Warehousing, Distributed Data Processing, and Streaming Data systems.
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NOTE: This opportunity is available on a contractor basis.
Who we need...
- 5+ years of experience serving as a data engineer or in a comparable engineering capacity
- Strong skills with Python or a JVM language (Java, Scala)
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience working with cloud data warehouses, specifically BigQuery or Snowflake
- Experience working with data platforms built on public cloud in a production setting.
- Experience working with GCP native data toolset is preferred.
- Having built ELT or ETL pipelines processing large amounts of data.
- Experience with dbt or Airbyte is preferred.
- Experience developing production Spark or Hadoop applications
- Gained experience with a workload scheduling and orchestration tool such as Apache Airflow/Cloud Composer
- Familiarity with modern DataOps (e.g. quality eng, testing, pipeline deployments etc) practices and IaC (e.g. Terraform)
- Familiarity with the constellation of tools in the data engineering ecosystem. You should be comfortable picking up and learning a new tool, as well as recommending tools that have served you well.
- Experience with batch, micro-batch, and real-time streaming architectures
- Good internal and customer-facing communication skills
- Experience with relational database management systems and change data capture (CDC) is a plus
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We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives.
Source Group International Ltd is acting as an Employment Business in relation to this vacancy
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