Azure Data Engineer with 6+ years of experience designing, developing, and optimizing enterprise-scale data platforms using Microsoft Azure and Snowflake
Proven expertise in building scalable data pipelines, data warehouses, and analytics solutions leveraging Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Snowflake, Python, SQL, and Spark
Experienced in data modeling, ETL/ELT development, cloud migration, performance tuning, data governance, and implementing CI/CD practices
Strong background in integrating data from multiple sources and enabling business intelligence and advanced analytics solutions
Key Skills:
Azure Data Factory (ADF)
Azure Databricks
Azure Synapse Analytics
Snowflake Data Cloud
Python, PySpark, SQL
Azure Data Lake Storage (ADLS Gen2)
Azure Functions
Delta Lake
Data Warehousing & Data Modeling
ETL / ELT Development
CI/CD (Azure DevOps, Git)
Performance Tuning & Optimization
Data Governance & Security
Power BI Integration
Agile & Scrum Methodologies
What you will do:
Design, develop, and maintain scalable data engineering solutions on Azure and Snowflake platforms
Build and optimize ETL/ELT pipelines using Azure Data Factory, Databricks, and Snowflake to ingest, transform, and load data from various structured and unstructured sources
Develop and maintain enterprise data warehouses, data marts, and analytical datasets supporting reporting, BI, and advanced analytics initiatives Implement data transformation and orchestration processes using PySpark, SQL, Python, and Snowflake stored procedures
Design and manage cloud-based data lakes using Azure Data Lake Storage (ADLS Gen2) and Delta Lake architecture
Collaborate with business stakeholders, data analysts, and architects to gather requirements and translate them into scalable data solutions
Monitor and optimize data pipeline performance, ensuring reliability, scalability, and cost efficiency
Implement data quality frameworks, validation rules, and monitoring processes to ensure accurate and trusted data
Manage Snowflake objects including databases, schemas, warehouses, tasks, streams, and data-sharing capabilities
Develop and maintain dimensional and normalized data models following industry best practices
Implement security controls, access management, encryption, and governance policies across Azure and Snowflake environments
Support cloud migration and modernization initiatives from on-premises or legacy platforms to Azure and Snowflake
Automate deployment processes using Azure DevOps, Git repositories, and CI/CD pipelines
Troubleshoot production issues, perform root cause analysis, and provide timely resolution for data-related challenges
Participate in Agile ceremonies, code reviews, and technical design discussions to ensure high-quality solution delivery
Create technical documentation, architecture diagrams, operational runbooks, and knowledge-transfer materials
Preferred Certifications:
Microsoft Certified: Azure Data Engineer Associate (DP-203)
SnowPro Core Certification
Datavail is an enterprise IT services company specializing in cloud, data, and application expertise. The company helps organizations transition from traditional IT environments to modern, AI-enabled enterprises by delivering outcomes in uptime, speed, modernization, cost efficiency, and AI readiness. Datavail offers comprehensive services across analytics, AI/ML, database management, cloud migration and strategy, application management, and Oracle applications implementation. The company is an AWS Advanced Tier Services Partner and focuses on deploying AI responsibly with governance and measurable ROI, serving industries including insurance and packaged goods.
