Our client is a global professional services company that offers a wide range of solutions in business strategy, consulting, digital, technology, and operations. The company works with clients across various industries, including healthcare, insurance, banking, retail, telecommunications, energy, transportation, and manufacturing, to help them transform their businesses and achieve their goals. They are recruiting a Senior Python Data Developer with experience in Google Cloud Platform (GCP) and Airflow (Cloud Composer) to join the team.
The ideal candidate will have strong proficiency in Python, hands-on experience with data workflows, and solid knowledge of SQL. Exposure to Large Language Models (LLMs) is a plus, though not required.
Key Responsibilities:
1. Develop and maintain data pipelines and workflows using Python and Airflow (Cloud Composer).
2. Work with GCP services to design and implement scalable data solutions.
3. Write optimized SQL queries for data extraction and transformation.
4. Collaborate with cross-functional teams to ensure data quality and efficiency.
5. Participate in code reviews and contribute to best practices in data engineering.
Minimum Requirements:
* Proficiency in Python.
* Experience with Google Cloud Platform (GCP).
* Experience with Apache Airflow / Cloud Composer.
* Strong knowledge of SQL and relational databases.
* Expert knowledge in Machine Learning and GenAI is a strong requirement.
Nice to Have:
* Exposure to Generative AI (Gen AI) foundations and Large Language Models (LLMs) – at least 6 months of foundational knowledge (no hands-on experience required).
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