Data Engineer (ADF & Snowflake)

Interested candidates please do fill the Google Form belowhttps://forms.gle/Ch8xja2eEgYAoxrn9

Job Summary:We are seeking an experienced Data Engineer to join our team. The ideal candidate will have hands-on experience with Azure Data Factory (ADF), Snowflake, and data warehousing concepts. The Data Engineer will be responsible for designing, developing, and maintaining large-scale data pipelines and architectures.

Key Responsibilities:

• Design, develop, and deploy data pipelines using Azure Data Factory (ADF)
• Work with Snowflake to design and implement data warehousing solutions
• Collaborate with cross-functional teams to identify and prioritize data requirements
• Develop and maintain data architectures, data models, and data governance policies
• Ensure data quality, security, and compliance with regulatory requirements
• Optimize data pipelines for performance, scalability, and reliability
• Troubleshoot data pipeline issues and implement fixes
• Stay up-to-date with industry trends and emerging technologies in data engineering

Requirements:

• 4+ years of experience in data engineering, with a focus on cloud-based data platforms (Azure preferred)
• 2+ years of hands-on experience with Azure Data Factory (ADF)
• 1+ year of experience working with Snowflake
• Strong understanding of data warehousing concepts, data modeling, and data governance
• Experience with data pipeline orchestration tools such as Apache Airflow or Azure Databricks
• Proficiency in programming languages such as Python, Java, or C#
• Experience with cloud-based data storage solutions such as Azure Blob Storage or Amazon S3
• Strong problem-solving skills and attention to detail
• Excellent communication and collaboration skills

Nice to Have:

• Experience with data discovery and metadata management tools such as Azure Purview or Alation
• Knowledge of data security and compliance frameworks such as GDPR or HIPAA
• Experience with containerization using Docker and Kubernetes
• Certification in Azure Data Factory, Snowflake, or other relevant technologies