Job Details
Must Have: 8+ years of experience in data engineering with an emphasis on data analytics and reporting 2+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others 5+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Warehouse, etc 5+ years of experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines 3+ years of experience with one or more of the following scripting languages: Python, SQL, Kafka and/or other Good to have: 2 years of experience in Production Support 2 years of experience in Master Data Management 2 years of experience in Data Matching (manual as well as Machine) 1+ years of experience in DevOps/DataOps/MLOps on AWS 1+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.
Exposure to Machine Learning models in NLP and pattern recognition