ADF Databricks/Snowflake Consultant

Key skills

• SQL
• Spark
• Databricks
• Snowflake
• Azure
• Azure Data Factory
• Data Warehousing
• Data Pipelines

Job description

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.

Technical Requirements:

Strong experience in Azure Data Factory (ADF).

Hands-on experience with Azure Databricks and PySpark.

Strong Snowflake development experience.

Advanced SQL skills.

Experience with ADLS and Azure ecosystem.

Understanding of data warehousing concepts and dimensional modeling.

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.

Preferred Skills:

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

Apply on the official Infosys careers page

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