We are looking for a skilled qualified with a strong technical background in data and cloud technologies. This role focuses on leveraging data science and cloud technology to build robust data pipelines, deliver actionable insights, and automate analytical processes

Responsibilities
- Advanced Analytics: Conduct complex data analysis and modeling using Python (Pandas, NumPy) and MySQL to support business intelligence and strategic decision-making.
- Data Pipeline Development: Design, implement, and maintain scalable ELT/ETL workflows for data ingestion, transformation, and warehousing across various sources.
- Cloud & Data Warehousing: Apply Cloud Knowledge to manage and optimize data assets within a modern Data Warehousing environment (e.g., GCP, BigQuery).
- Reporting & Visualization: Create and maintain interactive dashboards using Tableau or Power BI to communicate key insights effectively to stakeholders.
- Automation: Automate data extraction, quality checks, reporting, and model deployment processes.

Required Qualifications:
Education:
- UG: B.Tech/B.E.



in Computer Science (CSE), Data Science, or Information Technology.

Experience
- 2-5 years of relevant experience is preferred.
- Immediate joiners are highly desired.
- Experience contributing to backend data services or systems is a plus.

Technical Skills
- Programming: Expertise in Python (Must have: Pandas and NumPy).
- Database Management: Strong proficiency in MySQL and writing complex SQL queries.
- Data Engineering: Hands-on experience with Data Warehousing and Cloud Knowledge (e.g., GCP, BigQuery). Practical experience in designing and managing ELT/ETL workflows.
- Data Orchestration: Hands on experience in Orchestration tools such as Airflow, DBT is preferred.
- Business Intelligence: Demonstrated proficiency with BI tools (Tableau or Power BI).
- Data Science (Good to have): Solid background in Data Analytics with proven experience in applying Machine Learning and Deep Learning methodologies.

📌 Data Engineer (Mumbai)
🏢 JB Group of companies
📍 Mumbai