AWS Data Engineering Leader
7 days ago
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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