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2 days ago
This is an exciting opportunity to embark on a data-driven career in Azure Data Engineering.
Job Responsibilities:- Design and develop scalable pipelines to efficiently process and transform large volumes of data using Spark and Python programming skills.
- Utilize Snowflake SQL to perform aggregations on high volumes of data.
- Develop database objects such as Stored Procedures, Views, Indexes, Triggers, and Functions in Snowflake Database to maintain data integrity and share with downstream applications via APIs.
- Leverage Azure Databricks and Datalake for efficient data processing and storage solutions.
- Proven experience as a Data Engineer with strong understanding of data pipelines and ETL processes.
- Proficiency in Python programming with experience in data manipulation libraries such as Pandas and NumPy.
- Experience with SQL, Snowflake, and Spark for data querying and aggregations.
- Familiarity with Azure cloud services such as Data Factory, Databricks, and Datalake.
This role offers accelerated career growth opportunities and global exposure. You will work on industry-leading implementations for clients, collaborate with Architects and stakeholders, and have opportunities to innovate and grow with the company.
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