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4 weeks ago


Pune, India Maven Wave Partners Full time

Job Description

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

- Overall 10+Yrs of Experience in IT
- Minimum 5-7 years 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

Eligibility Criteria:

- Bachelor s 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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