Senior Data Solutions Architect

1 day ago

Pune, Maharashtra, India beBeeDataEngineering Full time ₹ 18,00,000 - ₹ 25,00,000
Cloud Data Engineering Specialist

We are seeking a skilled Cloud Data Engineering Specialist to join our team. This role will be responsible for designing, building, and optimizing large-scale data solutions using expertise in Azure, DBT, Snowflake, DataStage, and Netezza.


The ideal candidate will have strong experience with ETL development using IBM DataStage and hands-on experience with DBT for data transformation and modeling. Proficiency in Snowflake for cloud-based data warehousing and query optimization is also required.


Key Responsibilities:
  • Design and develop 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.

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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