Roles & Responsibilities • Database/Data Warehouse Development: Strong understanding of SQL and designing effective

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

(Data Lakehouse), DevOps, and Storage Accounts) & Snowflake environments.

• Data Lake Development: 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

Document data processes and workflows for knowledge sharing.

• Collaboration:



Work with data analysts and software engineers to understand data requirements

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

• Note: For candidates with MBAs from these colleges, they must have an undergraduate

Indraprastha Institute of Information Technology (IIIT Delhi)

• Note: For candidates with MBAs from these colleges, they must have an undergraduate

📌 Senior Engineer, Data Engineering (Hyderabad)
🏢 hiringhood
📍 Hyderabad