Qualifications:
- Passion for Software & data engineering, pioneering data technologies and architecture. Ability to understand complex business problems and provide software solutions.
- Extensive hands-on experience in using Azure or GCP & open-source services like Glue, Spark Kinesis/Kafka
- Hands-on experience in one or more programming languages like Java, Python, Scala.
- Real-life production experience in creating architectural framework and tools for Data Science teams to build, train & scale machine learning models.
- Strong hands-on experience with NOSQL, Timeseries, Graph, Columnar and Relational databases
- Understanding of data catalog solutions like Alation, Collibra, Atlas
- Experience in building CI/CD framework for the data teams
- Strong communication and leadership & collaboration skills
- Experience measuring, monitoring, and improving platform performance.
- Should have good understanding of coding best practices and be able to do peer code review
- Demonstrated experience identifying and acquiring new and relevant skills.
- Demonstrated experience having a passion for writing and maintaining excellent code and adhering to industry standards for code quality
- Demonstrated experience shipping code and driving business outcomes.
- Excellent communication skills and can communicate technical concepts to a non-technical audience.
- Able to build strong relationships while working with a fully remote team
- Good analytical and problem-solving skills