Profile:

Data Architect in AWS cloud with overall 7 to 11 years of experience and minimum 1+ year of experience in architecting and designing Data Analytics solution on AWS.

• Must have skills:
• In-depth knowledge and hands-on experience in AWS Cloud services such as AWS Redshift, AWS EMR, AWS S3, AWS Glue, AWS DMS, AWS Lambda, SNS, SQS, AWS Kinesis, IAM, VPC etc.
• Strong knowledge and experience in migrating on-premise data warehouse to AWS cloud.
• Strong knowledge and experience in building Data Lake in AWS cloud.
• Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.
• Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation.
• Good to have skills:
• Exposure in Databricks, and Snowflake data.
• Experience with any scripting languages, preferably Python.
• AWS Certified Associate Architect Certification or AWS Certified Data Analytics – Specialty
• Domain:
• Exposure to one of Telecom, Manufacturing, BFSI, HLS domains
• Role & Responsibilities:
• You will be aligned with our Data & Analytics practice; responsible for designing and architecting solutions using AWS services and tools.
• This role needs you to participate in customer meetings or workshops.
• Work on proposals, RFIs/RFPs, execute PoCs and pilot projects for customers.
• You are expected to contribute to D&A practice in building the capabilities in new age tools and technologies.
• Evaluate domain, financial and technical feasibility of solution ideas with help of all key stakeholders.