Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work-related problems.
- Design and develop data solutions for data generation, collection, and processing.
- Create and maintain data pipelines to ensure efficient data flow.
- Implement ETL (extract, transform, load) processes to migrate and deploy data across systems.
- Ensure data quality and integrity by performing data validation and cleansing.
- Collaborate with cross-functional teams to understand data requirements and provide technical expertise.
- Optimize data infrastructure and performance to support business needs

 Must To Have Skills: Proficiency in Google Cloud Data Services, Python (Programming Language), Apache Airflow.
- Strong understanding of statistical analysis and machine learning algorithms.
- Experience with data visualization tools such as Tableau or Power BI.
- Hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.