
Data Solutions Architect
11 hours ago
This role is focused on designing, developing, and maintaining scalable data pipelines using Spark.
Data engineers will have the opportunity to work on cutting-edge projects and contribute to the development of innovative data-driven solutions.
Key Responsibilities- Develop scalable pipelines to efficiently process transform data using Spark.
- Design and develop a scalable and robust framework for generating PDF reports using Python Spark.
- Utilize Snowflake Spark SQL to perform aggregations on high volumes of data.
The ideal candidate will collaborate with architects and business stakeholders to understand reporting requirements, maintain and improve existing reporting pipelines and infrastructure, and utilize Azure cloud services such as Data Factory, Databricks, and Datalake.
Requirements- Proven experience as a Data Engineer with a strong understanding of data pipelines and ETL processes.
- Proficiency in Python with experience in data manipulation libraries such as Pandas and Numpy.
- Experience with SQL, Snowflake, Spark for data querying and aggregations.
This role offers the opportunity to work on diverse projects, collaborate with cross-functional teams, and leverage innovative technologies to drive business growth.
About This RoleThis position requires a detail-oriented individual with excellent problem-solving skills and the ability to communicate complex technical concepts effectively.
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Enterprise Data Solutions Architect
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Enterprise Data Solution Architect Job Post
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