Data Platform Architect

3 semanas atrás

Lisboa, Lisboa, Portugal Defined Tempo inteiro
Job Overview
At Defined.ai, we are on a mission to power the world's biggest companies with high-quality data for their artificial intelligence systems. As a Data Engineer, you will play a key role in designing and implementing scalable PySpark-based data pipelines to process AI datasets.

Key Responsibilities:
- Design and implement scalable PySpark-based data pipelines to process (cleaning, validating and packaging) AI datasets;
- Develop ETL pipelines to fuel the Operations areas with data for their analytical dashboards;
- Set software engineering tools, platforms, and best practices while performing trade-off analysis to best match engineering, product, and project constraints and expectations;
- Help the Product Manager in structuring, breaking down, and prioritizing the product roadmap into backlog work items;
- Collaborate with other software engineering teams such as SREs and DevOps to achieve your team's goals;
- Work together with Software Engineering teams to integrate the Data Platform with other tools and platforms.

About Us
We offer a platform with multiple data delivery options that leverages machine learning technology and human intelligence to deliver quality-guaranteed training data for AI systems. Our value proposition is quality, privacy, speed and scale, covering more than 50 different languages. With strong expertise in speech and natural language processing technologies, we have been serving AI companies and Fortune 500 companies since day one.

Your Qualifications
We are looking for someone with a determined and proactive mindset, someone inspired and passionate to help us achieve our goals. Our successful candidate is a strong critical thinker, reliable and transparent, with an ability to learn and communicate. We are looking for someone special to contribute to our unique culture. You should have:
- BSc or MSc in Computer Science or similar background;
- Experience in PySpark-based data pipelines and software quality best practices;
- Worked with Azure services such as Synapse Analytics (mainly PySpark Jobs, Pipelines, and Notebooks), ADLS, Power BI, DevOps, and SQL and NoSQL databases;
- Solid understanding of Data Warehouse and ETL concepts, techniques, and processes;
- Comfortable with evaluating and applying software design and architectural patterns/principles;
- Accustomed to working with data lake and data pipeline architectures;
- Knowledge of RESTful APIs based on FastAPI, from the provider as well as the consumer point of view;
- Problem-solving skills;
- Proficient in both written and spoken English.

What We Offer
You spend a lot of your time at work, so it should be challenging, fun and interesting. At Defined.ai, you can enjoy a flexible working schedule and hybrid model. We know comfort can boost creativity and performance, so you can manage your schedule and work both from one of our modern office spaces or home. In addition to this, you will have excellent career development opportunities in a high growth company. With us, you can accomplish your career goals and follow a well-described career path with the support of your supervisor. We also provide a culture of feedback and continuous improvement, an international and diverse team, continuous training opportunities, and a great sense of camaraderie. Our estimated salary is approximately $120,000 per year.

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