Job Description
What We Offer
This role will involve working with various data tools and platforms to design, implement, and maintain efficient data pipelines and storage solutions. You will collaborate closely with data scientists, DevOps engineers, and other stakeholders to ensure seamless data flow and accessibility, enabling advanced analytics and machine learning projects.
For a trainee position, the responsibilities will be supporting the data engineering team to implement and maintain data pipelines.
Who We Are
The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions, and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.
With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.
What You Will Do
- Support the Data Engineering team in creating and maintaining data pipelines/ETL tasks.
- Help to monitor and troubleshoot data pipelines.
- Work closely with data scientists to understand their data requirements and provide the necessary support for their analytics and machine learning tasks.
- Stay updated with the latest trends and advancements in data engineering, cloud technologies, and big data tools.
- Create and maintain documentation related to data pipelines, data storage, and data processing workflows.
What You’ll Bring
- Interests in Data Engineering and data in general.
- Good knowledge in SQL and Python (understand SQL commands and Python basic structures and logic syntax).
- Good problem-solving skills and the ability to work collaboratively in a team environment.
- Basic understanding of data integration and ETL processes.
- Experience with Azure or Snowflake cloud solutions.
- Python and SQL as development languages, PySpark as a framework for data processing.
Nice to Have
- Experience with Snowflake or other pay-as-you-go DWH technologies.
- Familiarity with big data technologies and distributed processing tools.
- Experience with Azure data tools, including Data Lake, Data Factory, and Azure Functions.
- Experience with GitHub Actions for CI/CD pipeline implementation.
- Knowledge of data quality and data governance best practices.
- Experience with real-time data processing and streaming analytics.
- Understanding of the energy sector and related data challenges.
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