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- Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field
- 5+ years’ experience of Data platform implementation, including 3+ years of hands-on experience in implementation AWS data services like AWS Glue, AWS Athena, AWS Redshift, etc.Experience with Python, Spark/Kinesis/Kafka implementations.The ideal candidate will have extensive experience with design, development and operations that leverages deep knowledge in the use of services like, Apache Spark, AWS Glue, AWS Redshift, Amazon Kinesis, Apache Kafka, NoSQL technologies DynamoDB.
- 5+ years of IT platform implementation experience.
- Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc).
- Current hands-on implementation experience required
- Hands on experience working on large-scale data science/data analytics projects.
- Ability to lead effectively across organizations.
- Hands-on experience with AWS Data Analytics technologies such as AWS, ,Spark, Redshift, Python
- Implementing AWS services in a variety of distributed computing, enterprise environments.
- Proficiency with at least one the languages such as Python/Node.JS or Java.
- Experience defining system architectures and exploring technical feasibility trade-offs.
- 3+ years experiences developing cloud software services and an understanding of design for scalability, performance and reliability.
- Experience working on a code base with many contributors.
- Ability to prototype and evaluate applications and interaction methodologies.
- Strong Experience with AWS technology stack.