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About the role
Minimum Experience (relevant): 8 Maximum Experience (relevant): 12 Notice period-Immediate to 15days
Must have skills: Strong experience working with data science/ML libraries in python (SciPy, NumPy, TensorFlow, SciKit-Learn, etc.) Strong experience working in cloud development environments (especially Azure, ADF, PySpark, Scala, DataBricks Delta, R, SQL ) Experience building data science models for use on front end, user facing applications, such as recommendation models Experience with REST APIs, JSON, streaming datasets Experience working with user behavioral data,such as web analytics (Google/Adobe Analytics) Experience building ML models and pipelines using MLflow, AirFlow. Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Understanding of Graph data, neo4j is a plus Strong understanding of RDBMS data structure, Azure Tables, Blob, and other data sources Experience with test driven development Experience in PowerBI or other tools Understanding of Jenkins, CI/CD processes using Git, for cloud configs and standard code repositories such as ADF configs and Databricks
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