Data Engineer

• Model Building: Assist in developing and testing machine learning models (Regression, Classification, etc.) using Python.
• Database Management: Write and optimize SQL queries to extract data from various relational databases.
• Visualization: Create clear and compelling dashboards (Tableau, Power BI, or Matplotlib) to communicate findings to stakeholders.
• Collaboration: Partner with engineering and product teams to understand data needs and ensure data integrity.
• Continuous Learning: Stay up-to-date with the latest data science trends and participate in internal knowledge-sharing sessions.

• Strong programming skills in Python with knowledge in ML/Al libraries (TensorFlow, PyTorch, scikit-learn, Keras).
• Experience with SQL/NoSQL databases and data pipelines.
• Familiarity with big data technologies like Hadoop, Spark, or Kafka

Preferred Skill Sets:

• Good to have large datasets and using tools such as Pandas, NumPy, and Matplotlib.
• Good to have knowledge with containerization and orchestration (e.g., Docker, Kubernetes).
• Contributions to open-source ML/Al projects.
• Knowledge in Natural Language Processing (NLP), computer vision, or reinforcement learning.
• Excellent problem-solving and critical thinking abilities.
• Ability to work independently and collaboratively within a team.
• Strong communication skills to explain technical details to non-technical stakeholders.

Education: Bachelor’s / Master’s degree in IT , data science, Statistics, Computer Science, Mathematics, or a related quantitative field (or equivalent bootcamp experience).

Strong mathematics and statistics background., * Bachelor’s (preferred)