Description
Amazon data engineering cross border and expansions team is looking for an engineer who can build, enhance and maintain the underlying end to end data platforms for Amazon MENA business (AE,SA,EGY locales).
Primary Responsibility:
• Strong knowledge & exposure on DWH concepts & methodologies, the new world of Data Lake
• To communicate effectively with business for the projects.
• Understanding of relational and non-relational databases like Mysql, SQL, Redshift, Vertica etc
• Data Migration & Validation experience between multiple sources
• Knowledge of best coding practices
• Proficient in SQL writing
• Hands on experience on ETL tools like Pentaho Data Integration, Informatica, Matillion etc is an additional advantage
• Strong design concepts to implement end to end solutions
• Knowledge on AWS cloud based technologies is an additional advantage
• Innovator, learner and a developer by heart
• Knowledge on languages like java, Python, javascript. Hands on experience on shell scripting and unix commands
• Experience in writing Unit test cases for data quality
• Customer Obsession & capable of delivering results in dynamic environment.
• Able to dive deeply into technical details (e.g., key dependencies, design choices, operability, etc.) and drive a constructive technical discussion.
We are open to hiring candidates to work out of one of the following locations:
Noida, UP, IND
Basic Qualifications
3+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Preferred Qualifications
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
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