Senior AWS Data Engineer

7 days ago

India Lean IT Inc. Full time

Company Description

Lean IT Inc. is at the forefront of the technological revolution, with a proven track record of delivering state-of-the-art cloud solutions to a diverse clientele. As an official Salesforce Ridge Partner, we specialize in expert consultations, robust and customizable Salesforce solutions, and seamless API integrations. Our core competencies include Data Visualization, Big Data Implementation, Data Migration, and Data Modernization. Our dedicated and skilled team continuously upskills to stay ahead in the evolving tech landscape. As a proud member of Pledge 1%, we contribute to global philanthropy, reflecting our commitment to corporate social responsibility.


Role Description

This is a remote contract role for a Data Engineer (AWS, Power BI). The Data Engineer will be responsible for designing and implementing data models, managing data warehousing solutions, executing ETL processes, and conducting data analytics. This role will also involve data visualization tasks using Power BI, ensuring seamless data transitions and modernizing data infrastructures.


Title: Data Engineer (AWS, Power BI)

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

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