2846 - Azure Data Engineer With Netezza & Datastage

3 weeks ago

Pune, Maharashtra, 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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