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Descripción del trabajo
Join our expanding Data Delivery team, taking on new challenges to support strategic projects. We aim to put data insights at the heart of every commercial action in our e-commerce business. To do this, we need people experienced in data modelling, data pipelines, testing, and documentation. We want our team to drive our commercial success through the solutions we build. The company offers a great working environment with lots of challenges. Our HQ is in Palma de Mallorca, but the team is based in multiple locations with a hybrid work model. Your internal collaborators will be global, with users worldwide. We utilize a modern analytics stack including Snowflake for data warehousing, DBT and Airflow for data pipelines, Python for ML modeling, and Tableau for visualizations. The role focuses on projects impacting data engineering, such as finalizing the Atlas report migration, mapping new data sources from Mitra to Snowflake BI tables, and projects related to Salesforce data ingestion, updating Airflow, developing real-time data pipelines, and enhancing data security and permissions. The role's impact is to improve business efficiency by ensuring stable, timely data flows for insights, alerts, and reporting.
Job Responsibilities
* Create and maintain optimal data pipeline architecture.
* Assemble large, complex data sets meeting business requirements.
* Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for scalability.
* Build infrastructure for data extraction, transformation, and loading using SQL and AWS big data technologies.
* Develop analytics tools for insights into customer acquisition, operational efficiency, and key metrics.
* Collaborate with stakeholders to resolve data-related issues and support infrastructure needs.
* Ensure data security across regions and data centers.
* Create data tools for analytics and data science teams.
* Work with experts to enhance data system functionality.
Required Skills
* Experience with Apache Airflow or similar orchestration tools.
* Advanced SQL skills and experience with relational databases.
* Experience building and optimizing big data pipelines and architectures.
* Ability to analyze data and processes for business insights.
* Strong skills with unstructured datasets.
* Experience with message queuing, stream processing, and scalable data stores.
* Project management and organizational skills.
* Ability to support cross-functional teams in a dynamic environment.
* Technical knowledge of big data tools, SQL, NoSQL, cloud services, and scripting languages.
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