- 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
- Solid 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