Data Engineer/Scientist - Azure/AWS/Spark

DIgitalcubez is seeking a Data Engineer / Data Scientist to design, develop, and maintain data pipelines, perform data analysis, build predictive models, and ensure data quality across platforms and operations.

• Design, build, and optimize scalable data pipelines and ETL processes.
• Develop and maintain data models, data marts, and analytical datasets.
• Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions.
• Perform exploratory data analysis (EDA) and create machine learning models as required.
• Implement data quality checks, validation rules, and monitoring processes.
• Automate data workflows and ensure timely availability of data.
• Work with cloud platforms such as Azure, AWS, or GCP for data engineering activities.
• Develop and execute data validation and data quality test cases.
• Monitor data accuracy, completeness, and consistency across systems.

• Proficiency in SQL and Python
• Experience with Data Science concepts, statistics, and machine learning algorithms
• Familiarity with cloud platforms such as Azure or AWS
• Experience with big data platforms like Spark