Job Summary

We are looking for a highly skilled Data Engineer with hands-on experience in Azure Data Factory (ADF), Azure Databricks, or Snowflake. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data integration solutions to support enterprise analytics and reporting requirements. Relevant experience with ADF, Databricks, or Snowflake is consistently highlighted in similar internal Data Engineer requirements.

Roles & Responsibilities
Build and optimize data ingestion and transformation workflows in Snowflake.
Develop scalable solutions using PySpark and SQL.
Implement data quality checks, monitoring, and performance tuning.
Work with structured and unstructured data from multiple sources.
Collaborate with business stakeholders, architects, and cross-functional teams to deliver data solutions.
Troubleshoot production issues and provide ongoing support for data platforms.
Ensure adherence to data governance, security, and best practices.

Technical Requirements




Robust experience in Azure Data Factory (ADF).
Hands-on experience with Azure Databricks and PySpark.
Solid Snowflake development experience.
Advanced SQL skills.
Experience with ADLS and Azure ecosystem.
Understanding of data warehousing concepts and dimensional modeling.

Additional Responsibilities
Robust analytical and problem-solving skills.
Experience working in Agile environments.
Excellent communication and stakeholder management skills.
Ability to work independently and deliver high-quality solutions.

Educational Requirement
MBA, MCA, ME, MSc, MTech, Bachelor of Engineering, BCA, BSc, BTech

Preferred Skills
Technology -> Cloud Integration -> Azure Data Factory (ADF)
Technology -> Data Engineering -> Databricks
Technology -> Data on Cloud-DataStore -> Snowflake

Service Line
Data & Analytics Unit

📌 Adf Databricks/snowflake Consultant Bengaluru
🏢 Infosys
📍 Bengaluru