Bachelor’s or Master's degree in Computer Science, Information Technology, or allied streams.
3+ years of hands-on experience in the data engineering domain with data science development.
Must have experience with end-to-end data science project implementation on Azure or GCP.
Must have Python, Tensorflow, and Keras for implementing complex models and end-to-end pipelines.
Good with Matplotlib/Seaborn for creating good data visualizations for interpreting data
Good with Pandas and NumPy for data-wrangling tasks
Solid understanding of DS concepts such as Feature Engineering., Model development, model deployment, model monitoring, hyperparameter tuning
Expertise in Tensorflow - Model Building, Feature Engineering, Model Deployment, and Monitoring.
Understanding of Apache Spark, Airflow, Hudi, Iceberg, Nessie, NiFi, Luigi, and Arrow (Good to have)
Strong foundations in computer science, data structures, algorithms, and programming logic.
Excellent logical reasoning and data interpretation capability.
Ability to interpret business requirements accurately.