Azure Data Engineer

We are seeking a highly skilled Data Engineer with expertise in Azure, DBT, Snowflake, DataStage, and Netezza to design, build, and optimize large-scale data solutions. The ideal candidate will have strong experience in developing ETL/ELT pipelines, implementing data modeling best practices, and ensuring data quality and governance across complex data environments.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using DataStage, DBT, and Azure Data Services. • Implement data integration solutions to ingest, transform, and load data into Snowflake and Netezza environments.

• Collaborate with business analysts, data scientists, and stakeholders to gather requirements and translate them into data engineering solutions.
  
• Optimize queries, workflows, and data models to enhance performance and cost efficiency.
  
• Implement data governance, data quality, and security standards across all pipelines.
  
• Migrate and modernize legacy data systems into cloud-based (Azure + Snowflake) solutions.
  
• Develop Source-to-Target Mapping (STTM) and maintain technical documentation for data flows.
  
• Support production data pipelines by troubleshooting issues, ensuring SLA adherence, and maintaining system reliability.
  
• Work with cross-functional teams to enable self-service analytics through curated datasets and semantic models.
  

Required Skills & Qualifications

• 58 years of experience as a Data Engineer or in a similar role.
  

• Strong expertise in Azure Data Platform (Data Factory, Synapse, Databricks preferred).

• Hands-on experience with DBT for data transformation and modeling.
  
• Proficiency in Snowflake for cloud-based data warehousing and query optimization.
  

• Strong background in ETL development using IBM DataStage.

• Experience with Netezza for data warehouse management and performance tuning.

• Advanced SQL skills (joins, CTEs, optimization, data transformations).
  
• Familiarity with data governance, lineage, and metadata management.
  
• Strong problem-solving and communication skills with the ability to work in agile teams.
  

Good to Have

• Experience with Python or Scala for data engineering tasks.
  
• Exposure to cloud migration projects (on-premises to Azure/Snowflake).
  
• Knowledge of Power BI/Tableau for BI reporting integration.
  
• Experience with CI/CD pipelines (Git, Azure DevOps) for data deployments.