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Data Engineering Professional
3 semanas atrás
Unlocking Business Growth with Data Engineering
The role of a Data Engineer is crucial in developing and enhancing data and analytics infrastructure. We are seeking an experienced professional to design and develop scalable, high-performance big data infrastructure using Spark, Kafka, Snowflake, or similar frameworks on premise and in the cloud.
To excel in this position, you will need to possess expertise in building data pipelines, data services, data warehouses, BI, and ML platforms. A collaborative mindset and ability to work with cross-functional teams will also be essential.
Key Responsibilities:
- Data Infrastructure Development: Design and develop scalable, high-performance big data infrastructure
- Platform Building: Build data pipelines, data services, data warehouses, BI, and ML platforms
- Cross-Functional Collaboration: Collaborate with cross-functional teams to drive digital transformation
- Industry Expertise: Stay up-to-date with industry trends and best practices in big data engineering
Requirements:
- Education: BS or Master's degree in Computer Science, related field, or equivalent experience
- Experience: 5+ years experience with data management responsibilities
- Expertise: Expertise in designing and building data warehouses and big data analytics systems
- Data Skills: Experience manipulating, analyzing, and visualizing data
Preferred Qualifications:
- Cloud Services: Experience with cloud services like Airflow, Glue, Redshift, Snowflake, BigQuery, Azure SQL, EMR, Databricks, etc.
- Notebooks: Experience with Jupyter, Google Colab, or similar notebooks
A Career Opportunity for Professional Growth:
We strive for excellence and believe in professional and personal growth. We support our team in achieving their goals and encourage learning new technologies. Our company values include giving back to our community through philanthropy, open source initiatives, and knowledge sharing.
This Data Engineer role offers a chance to work remotely and collaborate with a growing team of bright engineering minds in big data computing. If you are passionate about data engineering and committed to delivering exceptional results, we encourage you to apply for this exciting opportunity.
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