ADF Databricks/Snowflake Consultant

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

Key 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:

• 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

Additional Responsibilities:

• Strong 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

Preferred Skills:

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