
Transformative Data Engineering Expert
1 day ago
**Job Overview**
We are seeking a highly skilled Data Engineer to join our team. The ideal candidate will have expertise in data pipelines and ETL processes, proficiency in Python with experience in data manipulation libraries such as Pandas and Numpy, and experience with SQL Snowflake Spark for data querying and aggregations.
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.
- 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 Python's Flask framework to support front-end applications.
Requirements:
- Expertise in Python, SQL, Spark, Azure Data Factory, Azure Datalake, Azure Databricks, Azure Service Bus, and Azure Event Hubs.
- Excellent communication and collaboration skills.
- Ability to work independently and manage multiple tasks effectively.
By joining our team, you will enjoy accelerated career growth and global exposure, a collaborative inclusive work environment rooted in innovation, exposure to best-in-class automation frameworks, and an innovation-first culture embracing automation AI insights and clean data.
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