AWS Data Engineer (8+ years)

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Posted:7 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Start date: ASAP

Location: offshore / remote

Duration: 6 months

Experience : 7 Yrs to 8 Yrs

Description:

Lead discovery of existing data pipelines and BI reporting tools and outputs. Document the existing data architecture and define the optimal to-be data warehouse configuration. Redefine schemas and build ETL pipelines to support integrated learning platforms. Consolidate services and toolsets to streamline the data ecosystem. Define and implement data privacy and access control governance controls across integrated systems. Implement data quality checks, maintain comprehensive documentation, and design API-based synchronization for ongoing data exchange between platforms. Ensure regulatory compliance throughout the integration process.

Core Platforms & Tools

  • AWS
  • Power BI
  • Data Warehouse (AWS Redshift, Snowflake, Big-Query—though AWS preferred)
  • ETL / Data Pipelines
  • BI Reporting Tools
  • API Integration

Data Engineering Skills

  • Data Architecture
  • Schema Redefinition / Data Modeling
  • ETL Design & Development
  • Data Consolidation & Integration
  • Data Quality Checks / Data Validation
  • Documentation (data lineage, pipeline documentation)

Governance & Compliance

  • Data Privacy
  • Access Control Governance
  • Regulatory Compliance (GDPR, etc.)

Integration & Ecosystem

  • Integrated Learning Platforms (LMS/LXP systems experience a plus)
  • Data Synchronization (API-based, automated exchange)
  • Consolidating Services & Toolsets

Soft/Process Skills

  • Discovery of Existing Data Pipelines
  • Documentation of Current State & To-be Architecture
  • Designing Optimal Data Warehouse Configuration
  • Streamlining Data Ecosystem


If interested, share your resume on sadiya.mankar@leanitcorp.com

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