Roles & Responsibilities
• Database/Data Warehouse Development: Strong understanding of SQL and designing efficient
queries, conceptual understanding of tabular data model and its development etc.
• Data Pipeline Development: Assist in building and maintaining data pipelines for ETL (Extract,
Transform, Load) processes using various tools and techniques in Azure (Data Factory, Databricks
(incl. Data Lakehouse), DevOps, and Storage Accounts) & Snowflake environments.
• Data Lake Development: Assist in developing the medallion framework for persisting,
transforming and creating data models. Depending on the data extraction frequency, design
appropriate approaches for data ingestion i.e., full versus incremental data loads
• Data Visualization: Build powerful dashboard and reports in Power BI or Tableau or any other BI
tool
• Documentation: Document data processes and workflows for knowledge sharing.
• Collaboration: Work with data analysts and software engineers to understand data requirements
and deliver relevant datasets.

Must have
Colleges Tier List mentioned below
• Experience:



Minimum 3 years of experience is mandatory in data management projects with
technologies like Microsoft Fabric, Snowflake, and Databricks with related tools and technologies
• Programming Skills: Excellent skills in SQL & Python are essential for this role
• Data Management: Basic understanding of database management systems, data warehouse and
data modelling is essential for this role
• Analytical Skills: Robust analytical abilities to interpret trends and patterns in complex datasets.
• Communication Skills: Excellent verbal and written communication skills for collaborating with
team members.

Colleges Tier List
Colleges Tier List "Tier-1
• IITs – Bombay, Delhi, Madras, Kanpur, Kharagpur, Roorkee, Guwahati, Varanasi (BHU)
• IIIT Hyderabad
• BITS – Pilani, Goa, Hyderabad
• NITs – Trichy, Surathkal, Warangal, Calicut, Rourkela, Allahabad, Jaipur, Surat
• IISc Bangalore
• (*) Indian School

📌 Data Engineer (India)
🏢 hiringhood
📍 India