
Cloud-Native Data Solutions Specialist
3 days ago
We are seeking a skilled Data Engineer to lead the design and implementation of cloud-native data lakes and lakehouses.
This role involves developing real-time and event-driven data pipelines using PySpark, Python, and cloud services such as Azure, AWS, or GCP.
The ideal candidate will have experience in data mesh initiatives, implementing data fabric across hybrid/multi-cloud environments, and driving master data management (MDM) and data harmonization.
- Familiarity with data governance frameworks and observability tools is required.
To be successful in this role, you should have:
3-5 years of experience in data engineering roles
Strong proficiency in PySpark, Python, and cloud-native data services
Familiarity with data mesh, data fabric, MDM, and real-time streaming (Kafka, Spark Streaming, etc.)
Experience with orchestration tools like Apache Airflow, Azure Data Factory, or similar
BenefitsYou will have the opportunity to work on cutting-edge AI data platforms and enterprise-scale AI pipeline.
As part of our high-caliber AI & data engineering team, you will solve complex business challenges and gain exposure to global enterprises and AI-driven decision-making.
Additionally, you will enjoy competitive compensation and fast-track career growth in AI, as well as mentorship from best-in-class AI leaders who will help shape you into a top AI professional.
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