Senior Cloud Data Engineer

1 day ago

Pune, Maharashtra, India beBeeCloudEngineer Full time ₹ 9,00,000 - ₹ 12,00,000

**Job Title:** Senior Cloud Data Engineer

We are seeking a highly skilled Data Engineer to design, build, and optimize large-scale data solutions using Azure Data Platform.

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.

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.
Requirements
  • 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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