- Highly proficient in writing good and productive Python or Scala code. Preferrably Python as it has vast number of libraries
- Experience in deploying applications, data pipelines (even with AWS lambda functions and S3 buckets) in AWS or Azure
- Experience in handling and processing large files or huge amount of data. Knowledge of multi processing, multi threading, co-routines etc.
- Strong in RDBMS - writing complex SQL queries, understanding of ORMs, optimizing SQL queries
- Experience in NoSQL databases - MongoDB or Cassandra
- Good understanding of ETL technologies - Any ETL tool or library usage in their projects is a plus
- Experience in event driven programming - Async/Await, pub/sub etc
- Experience in tools like Redis, RabbitMQ, Kafka etc
- Experience in any of cloud infrastructure - AWS/Azure - Compute/Storage/Network/Databases/Security
- Experience in PySpark - Any project related to the usage of PySpark with large data is an advantage.
- Positive knowlegde of software development process - coding standards, Git branching strategy, effort estimates, writing unit tests, proper documentation etc.
- Experience in data warehouse is an advantage.
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