We are looking for immediate joiners only. Interested candidates can share their updated CV ( at
[email protected] ) along with their notice period and current/expected compensation. Kindly provide a brief on your work with AWS, specifically AWS Glue and EMR in your email as well
Job Title
Senior Data Engineer –Data Engineering
Job Description
As the Technical Lead Cloud & Data Engineering, you will be responsible for handling large, complex, multi-dimensional datasets, including structured, unstructured, and real-time data. You will develop complex data transformation ETLs and work extensively with Python, Py Spark, Apache Spark, as well as cloud services from both AWS and Azure. Additionally, you will demonstrate strong expertise in cloud services related to the data domain and have a solid understanding of On-Prem/Cloud Data warehouse databases. You will also exhibit technical leadership capabilities, leading and delivering projects independently.
Experience
4+ Years
Working hours
1:00 pm to 10:00 pm IST ( Mon - Fri )
Qualification
A Bachelor's Degree in Computer Science, or a similar discipline (or comparable practical experience) is required.
Responsibilities
Handle large, complex, multi-dimensional datasets, including structured, unstructured, and real-time data.
Develop complex data transformation ETLs using Python, Py Spark, and Apache Spark.
Utilize cloud services from both AWS and Azure related to the data domain, demonstrating a robust understanding of their respective ecosystems.
Have a solid understanding of On-Prem/Cloud Data warehouse databases and their architecture.
Provide technical leadership, leading and delivering projects independently while ensuring high-quality results.
Stay updated with emerging trends in data tools, analysis techniques, and data usage, understanding their potential impact.
Understand the concepts and principles of data modelling and create, maintain, and update relevant data models for specific business needs.
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