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Senior Bi Engineer

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Hybrid

Senior Bi Engineer

Hexaware Technologies

Senior Bi Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringAI

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

13 August 2026

What they need


Work location : Hyderabad/Pune/Chennai/Bangalore

Work mode : Hybrid

Shift: 1 PM IST to 10 PM IST

Year of Experience: 712 years of overall BI/data engineering experience, including 3–5 years of SAS and advanced SQL, and 2–3 years of Google Cloud/Dataform experience.

Key Skills: Dataform, Advanced SQL, SAS, reporting migration, requirements analysis, stakeholder management

Job Description:

Senior BI Engineer responsible for migrating legacy SAS reporting and data-processing workflows to Google Dataform and SQL-based pipelines. The role involves analyzing SAS logic, understanding business requirements, developing equivalent Dataform solutions, and validating migrated reports with business and IT stakeholders.

Required Skills

  • Google Dataform development
  • Advanced SQL and query optimization
  • SAS program analysis and workflow understanding
  • SAS-to-SQL/Dataform conversion
  • Data transformation and pipeline development
  • Data quality validation and reconciliation
  • Reporting migration and legacy BI modernization
  • Report inventory and migration assessment
  • Requirements analysis
  • Business stakeholder management
  • UAT coordination and business validation
  • GCP/BigQuery experience
  • AI-assisted code conversion and prompt engineering preferred

Key Responsibilities

  • Analyze SAS programs, reporting logic, data transformations, and scheduling dependencies.
  • Convert SAS workflows and business rules into Dataform and SQL.
  • Develop scalable data transformation and preparation pipelines in GCP.
  • Implement workflow orchestration, data quality checks, and validation rules.
  • Optimize complex SQL queries and transformation logic.
  • Validate migrated outputs against existing SAS reports and business expectations.
  • Identify and resolve gaps between SAS and Dataform functionality.
  • Support requirements gathering, clarification workshops, UAT, and business sign-off.
  • Resolve migration defects and document conversion outcomes.
  • Use Claude or similar AI tools for code conversion, validation, and remediation where appropriate.

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