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
