2846 - Azure Data Engineer With Netezza & Datastage

3 days ago

Nashik, India EXL Full time

Role - Azure DE With Netezza & Datastage Experience - 5-8 Years Location - All EXL Locations 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 • 5-8 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.

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