Mandatory Qualifications:

Experience in the Spark ecosystem, with expertise in MongoDB data loads, Snowflake, and AWS platform services such as EMR, Glue, and S3. Strong hands-on experience in writing advanced SQL queries, with a deep understanding of various database technologies. Proven ability to manage end-to-end data testing for complex big data projects, including: Writing and executing comprehensive test cases Performing data validations, system testing, and performance checks Experience working with multiple data file formats such as JSON, ORC, Avro, Parquet, and CSV. Familiarity with basic shell scripting and Linux commands. Strong understanding of data pipelines in NoSQL databases like MongoDB, job scheduling tools, and concepts related to APIs and data streaming (e.g., Kafka).

Desired Qualifications:

Experience in Healthcare IT projects. Snowflake certifications (such as SnowPRO certification) and/or Automation Testing certifications are a plus.