Opportunity For Lead - AWS Data Engineering professionals

Dear Candidate,

This is with reference for Opportunity for Lead - AWS Data Engineering professionals

Responsibilities:

• Lead the design and implementation of AWS-based data architectures and pipelines.
• Architect and optimize data solutions using AWS services such as S3, Redshift, Glue, EMR, and Lambda.
• Provide technical leadership and mentorship to a team of data engineers.
• Collaborate with stakeholders to define project requirements and ensure alignment with business goals.
• Ensure best practices in data security, governance, and compliance.
• Troubleshoot and resolve complex technical issues in AWS data environments.
• Stay updated on the latest AWS technologies and industry trends.

Key Technical Skills & Responsibilities

• Experience in design and development of cloud data platforms using AWS services
• Must have experience of design and development of data lake / data warehouse / data analytics solutions using AWS services like S3, Lake Formation, Glue, Athena, EMR, Lambda, Redshift
• Must be aware about the AWS access control and data security features like VPC, IAM, Security Groups, KMS etc
• Must be good with Python and PySpark for data pipeline building.
• Must have data modeling including S3 data organization experience
• Must have an understanding of hadoop components, No SQL database, graph database and time series database; and AWS services available for those technologies
• Must have experience of working with structured, semi-structured and unstructured data
• Must have experience of streaming data collection and processing. Kafka experience is preferred.
• Experience of migrating data warehouse / big data application to AWS is preferred .
• Must be able to use Gen AI services (like Amazon Q) for productivity gain

Eligibility Criteria:

• Bachelors degree in computer science, Data Engineering, or a related field.
• Extensive experience with AWS data services and tools.
• AWS certification (e.g., AWS Certified Data Analytics - Specialty).
• Experience with machine learning and AI integration in AWS environments.
• Strong understanding of data modeling, ETL/ELT processes, and cloud integration.
• Proven leadership experience in managing technical teams.
• Excellent problem-solving and communication skills.

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