Job Description: Data Engineer ? Azure, Snowflake, Synapse, ETL/ELT
Position Summary
We are seeking an experienced Data Engineer with a minimum of 6-12 years in designing and implementing up-to-date data solutions. The ideal candidate will have strong expertise in Azure Data Factory, mini data lake architectures, Snowflake, Azure Synapse Analytics, and ETL/ELT processes. This role involves building scalable data pipelines, optimizing workflows, and enabling advanced analytics for enterprise-grade solutions.
Key Responsibilities
? Design, develop, and maintain robust ETL/ELT pipelines using Azure Data Factory (ADF) and SSIS.
? Implement and manage mini data lake solutions on Azure for efficient ingestion and storage.
? Build and optimize data models in Snowflake and Azure Synapse Analytics.
? Integrate data from multiple sources ensuring quality, consistency, and governance.
? Monitor and tune pipelines for scalability and cost efficiency.
? Implement automated workflows and deployment pipelines using Azure DevOps.
? Partner with BI teams, data scientists,
and business stakeholders to deliver actionable insights.
? Maintain clear documentation of data flows, schemas, and governance policies.
Required Skills and Qualifications
? Minimum 6+ years in data engineering with strong exposure to cloud-based data platforms.
? Advanced pipeline design and orchestration using Azure Data Factory (ADF).
? Proficient in Snowflake & Synapse for data modeling and query optimization.
? Hands-on experience with SSIS and modern ETL/ELT frameworks.
? Experience in mini data lake design and management on Azure.
? Strong SQL skills and familiarity with Python or PowerShell for automation.
? Knowledge of deployment automation and version control (Git).
? Excellent analytical, problem-solving, and communication skills.
Preferred Skills
? Experience with Azure Databricks or other big data processing frameworks.
? Familiarity with data governance tools and data cataloging.
? Exposure to real-time