AWS Data Engineer
4 weeks ago
Responsibilities:
* Design and implement data pipelines using AWS services such as S3, Athena, and Redshift
* Develop complex SQL queries and stored procedures to extract, manipulate, and analyze data from relational databases
* Conduct diagnostic and troubleshooting steps to resolve data-related issues
* Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions
Qualifications:
* Senior data professional with over 8 years of expertise in data engineering, data analysis, and data science
* Experience creating data marts, data warehouses on-premise and on cloud for real-time and batch processing frameworks
* Extensive hands-on experience building and optimizing data structures for data analytics, data science, and business intelligence
* Experience building self-service data consumption patterns and knowledge of cloud-based data lake platforms
Familiarity with the following technologies:
* Hadoop, Kafka, Airflow, Hive, Presto, Athena, S3, Aurora, EMR, Spark
Ability to drive, contribute to, and communicate solutions to technical product challenges
Ability to roll-up your sleeves and work in process or resource gaps and fill it in yourself
Excellent written and oral communication skills in English
Education:
* Bachelor's degree in computer science, data analytics, information systems, or a related degree or equivalent experience. Master's degree is preferred.
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