Data Engineer/Scientist

Key Responsibilities:

• 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.

Technical Skills:

• Proficient in programming languages such as Python or R.
• Expertise in statistics, machine learning algorithms, and data mining techniques.
• Experience with data preprocessing, feature engineering, and model validation.
• Skilled in data visualization tools and libraries (Tableau, Power BI, Matplotlib, Seaborn).
• Familiarity with big data platforms (Spark, Hadoop) and SQL databases.
• Knowledge of cloud-based ML platforms (AWS SageMaker, Azure ML, GCP AI Platform).
• Understanding of experimental design and A/B Testing.
• Ability to communicate complex technical concepts to non-technical stakeholders.

Total Experience: 5 - 12 years