
Strategic Data Architect
2 weeks ago
Transformative Data Engineering Opportunity
Are you a data enthusiast eager to craft innovative solutions? We are seeking an exceptional Data Engineer to join our team in driving business growth through cutting-edge data strategies.
Key Responsibilities:
- Design and implement scalable data pipelines using Apache Spark for efficient data processing
- Develop robust frameworks for generating reports using Python and Spark, ensuring seamless integration with downstream applications
- Utilize Snowflake Spark SQL for high-performance aggregations on large datasets
- Maintain and improve existing reporting infrastructure, leveraging Azure Databricks and Datalake for optimized data storage and processing
- Develop APIs using Flask to support front-end applications, fostering seamless data exchange
- Collaborate with cross-functional teams to drive business outcomes through data-driven insights
Qualifications:
- Proven experience as a Data Engineer with a strong understanding of data pipelines and ETL processes
- Proficiency in Python, with expertise in data manipulation libraries like Pandas and NumPy
- Experience with SQL, Snowflake, and Spark for data querying and aggregations
- Familiarity with Azure cloud services, including Data Factory, Databricks, and Datalake
- Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced environment
Benefits:
As a valued member of our team, you will have opportunities to grow professionally and personally, working alongside talented individuals who share your passion for innovation. Join us in shaping the future of data engineering
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