DATA OPERATIONS ENGINEER SPECIALIST
Descripción de la oferta de empleo
We leverage AI and machine learning technologies to provide investors, governments, companies, and consumers with the right data, methodologies, and tools to make more informed decisions. We are now a team of more than 300 highly passionate individuals from all over the world.
Together, we have established Clarity AI as a leading sustainability tech company backed by investors and strategic partners such as SoftBank, BlackRock, and Deutsche Börse, who believe in us and share our goals.
We have plans to continue growing our teams in Spain, the UK, and the US this year, so if you would like to join us on this rocket ship, keep reading! Your work will shape and guide the sustainable decisions of consumers and investors worldwide. We are looking for a Data Operations Engineer Specialist to integrate our Data Strategy team.
If you’re a Data Engineer and you enjoy leveraging code to quickly adapt to changing needs in an operative environment or if you are a Data Analyst that can code in python to solve operative issues, we are looking for you.
ou will be part of the Data Strategy team in charge of growing our Sustainability database, allowing us to enhance the productivity of the research team and reduce the operation burden of the development team.
ou will interact with the development team as well as with the research team.
ocation The role is based in Spain, ideally in Madrid or Barcelona.
ey ResponsibilitiesWorking as a Data Operations Engineer Specialist your main responsibilities will include: Consult data and use your coding skills (Python and SQL) to manage data from different data sources (S3, postgreSQL, etc.) in order to define the information to retrieve in our collection efforts.
Create automated and refreshable dashboards and reports for different stakeholders using your SQL and Python coding skills and using tools and services such as DBT and Quicksight.
Developing process operations and process automations using orchestration tools, APIs and overall best practices in streamlining business processes.
Delivering data through existing pipelines, or supporting the creation of new pipelines while including necessary soda validation checks.
Capable of serving data to non-technical and technical teams as a form of a dataset or a compelling dashboard/visualization.
Developing solution architecture diagrams and supporting the build using best practices.
Offering technical support to business stakeholders around their day to day operational work.
Modify and create new ETLs helped by the data-engineering team (we use Airflow to manage ETLs).
Support the configuration/integration of third party tools and work on web scraping activities and tasks.
Writing maintainable code with tests, applying version control, debugging correctly, and uploading it to Gitlab.
Interfacing with the Data Science team on serving data for modeling and predictions and helping deliver high quality data based on business rules to specific data stores.
Detalles de la oferta
- Sin especificar
- Sin especificar
- 19/04/2024
- 18/07/2024
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