Job Description

Role: AWS Architect
Location: Pune, Maharashtra



We are seeking a highly skilled Data Integration Architect to join our team. The ideal candidate will have extensive experience with the AWS tech stack and a strong background in data integration, ETL processes, and cloud architecture. As a Data Integration Architect, you will be responsible for designing, implementing, and managing data integration solutions to support our organization's data strategy.

Roles & Responsibilities

• Architect and Design:
• Design and implement data integration solutions using AWS services.
• Develop architecture blueprints and detailed documentation.
• Ensure solutions are scalable, secure, and aligned with best practices.
• Implementation of Logs, Alerting and Monitoring at various stages of Data flow.
• Data Management:
• Manage and optimize ETL processes to ensure efficient data flow.
• Integrate data from various sources into data lakes, data warehouses, and other storage solutions.
• Ensure data quality, consistency, and integrity across the data lifecycle.
• Data Pipeline Management - Ensuring the data ingestions and pipelines are robust and scalable for huge data sets.
• Collaboration and Leadership:
• Work closely with data engineers, data scientists, and other stakeholders to understand data requirements and deliver solutions.
• Lead technical discussions and provide guidance to the development team.
• Conduct code reviews and ensure adherence to coding standards.
• Performance Optimization:
• Monitor and optimize the performance of data integration processes.
• Troubleshoot and resolve issues related to data integration and ETL pipelines.
• Implement and manage data security and compliance measures.
• Semantic and Aggregation layer design and review

Dashboard performance tuning (Looker)

Qualifications:

Must have

• Education and Experience:
• Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
• Minimum of 7 years of experience in data integration and ETL processes.
• Extensive experience with AWS services such as AWS Glue, AWS Lambda, Amazon Redshift, Amazon S3, and AWS Data Pipeline.

Technical Skills:

• Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
• Strong programming skills in Python
• Experience with data modeling, data warehousing, and big data technologies.
• Familiarity with data governance and data security best practices.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to work independently and as part of a team.

Good to Have

• AWS Certified Solutions Architect or equivalent certification.
• Experience with machine learning and AI technologies.
• Familiarity with other cloud platforms (Google Cloud).
• Experience and exposure to US health care and Life science
• GCP Look ML

Job Type: Full-time

Pay: ?1,500,000.00 - ?2,000,000.00 per year

Schedule:

• Day shift

Experience:

• total work: 1 year (Preferred)

Work Location: In person