AWS Data Engineering Leader

7 days ago


Chennai, Tamil Nadu, India Tata Consultancy Services Full time
AWS Data Engineering Leader

We are seeking an experienced AWS Data Engineering Leader to lead our team in designing, implementing, and optimizing data pipelines and architectures using AWS services.

Key Responsibilities:
  • Data Pipeline Design and Optimization: Lead the design and implementation of data pipelines and architectures using AWS services like S3, Redshift, Glue, Lambda, and Step Functions.
  • Data Solutions Architect: Architect data solutions for data ingestion, transformation, and storage, ensuring scalability, security, and efficiency.
  • Redshift Expertise: Design and optimize Redshift data warehouses and data models to support advanced analytics and reporting needs.
  • ETL/ELT Automation: Lead efforts to automate ETL/ELT processes, integrating various data sources into a unified data lake or data warehouse environment.
  • Data Governance: Develop and implement best practices for data engineering, including data quality, governance, and security standards.
  • Cross-Functional Collaboration: Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to deliver data solutions that meet business requirements.
  • Tech Leadership: Provide technical leadership and mentorship to a team of data engineers, ensuring best practices in data design, coding, and performance tuning.
  • Data Architecture Frameworks: Implement robust data architecture frameworks, ensuring data is organized and accessible for reporting, analysis, and machine learning purposes.

The ideal candidate will have at least 8 years of experience in leading AWS data engineering teams and will be well-versed in designing, implementing, and optimizing data pipelines and architectures using AWS services.

Estimated salary: ₹2500000 - ₹3500000 per annum (depending on location and experience).



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