
Cloud Data Engineering Specialist
1 day ago
Job Title: Cloud Data Engineering Specialist
About the RoleWe are seeking a skilled Cloud Data Engineer to design and develop scalable data pipelines using Spark. As a Cloud Data Engineer, you will leverage Azure Databricks and Datalake for efficient data processing and storage.
Main Responsibilities:- Design and implement data pipelines to efficiently process transform data using Spark
- Develop a robust framework for generating PDF reports using Python and Spark
- Leverage Snowflake SQL to perform aggregations on large volumes of data
- Develop Stored Procedures Views Indexes Triggers and Functions in Snowflake Database to maintain data and share with downstream applications in form of APIs
- Leverage Azure Databricks and Datalake for data processing and storage
- Develop APIs using Flask to support front-end applications
- Proven experience as a Data Engineer with 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
- Strong problem-solving skills and ability to work under pressure
- Familiarity with Agile methodologies and collaborative working environments
- Work on industry-leading implementations for top clients
- Achieve accelerated career growth and global exposure
- Join a collaborative inclusive work environment rooted in innovation
- Gain exposure to best-in-class automation frameworks
- Opportunity to work with cutting-edge technologies and tools
- Supportive team environment with regular feedback and coaching
- Promotion opportunities based on performance
- Professional development opportunities through training and workshops
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