
Cloud Data Specialist
2 days ago
About This Role:
We are seeking a highly skilled data engineer to take on the challenge of designing and developing scalable pipelines that efficiently process and transform large volumes of data using Spark.
Responsibilities:
- Design, develop and deploy efficient data pipelines using Python libraries like Pandas and NumPy.
- Utilize Snowflake Spark SQL to perform complex aggregations on high volumes of data.
- Develop stored procedures, views, indexes, triggers and functions in Snowflake Database to maintain data integrity and share with downstream applications via APIs.
- Collaborate with technical architects and business stakeholders to understand reporting requirements and deliver solutions that meet their needs.
- Maintain and improve existing reporting pipelines and infrastructure to ensure seamless data flow.
Requirements:
- Proven experience as a data engineer with expertise in data pipelines and ETL processes.
- Proficiency in Python programming with experience in data manipulation libraries like Pandas and NumPy.
- Familiarity with SQL, Snowflake, Spark for data querying and aggregations.
- Experience with Azure cloud services such as Data Factory, Databricks and Datalake.
What We Offer:
- A dynamic work environment that encourages innovation and collaboration.
- Opportunities for accelerated career growth and global exposure.
- A competitive package that includes comprehensive benefits and perks.
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