AWS Architect @ NTT Data Information

Job Description

Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 2800+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, youll find our delivery centers across the globe and offices in multiple cities across India, the US, the UK, Canada, and Singapore, including a substantial remote global workforce. Were Great Place to Work-Certified. Working at Tiger Analytics, youll be at the heart of an AI revolution. You will work with teams that push the boundaries of what is possible and build solutions that energize and inspire. Architect(Cloud)- Chennai/Bangalore/Hyderabad As an Architect(Cloud), you will analyze, architect, design, and actively develop cloud data warehouses, data lakes, and other cloud-based data solutions in Aws. Analyze, architect, design, and actively develop cloud. data warehouses, data lakes, and other cloud-based data solutions in AWS. AWS experts with strong experience in working with modern data integration frameworks, big data, and DevOps, and is proficient with data programming languages (e.g. Python, SQL). Design and develop scalable data ingestion frameworks to transform a variety of datasets. Solid knowledge in EMR, RedShift, SageMaker, and other Paas offerings from AWS. Innovate cloud-native data solutions such as database structures and functional capabilities, security, back-up, and recovery specifications, etc. Build and maintain data integration utilities, data scheduling, and monitoring capabilities, and source-to-target mappings and data lineage trees. Implement and manage production management processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points. Lead technical teams to deliver projects and accomplish business and IT objectives. Skills and Qualifications: 8+ years of data engineering and/or data warehousing experience. 4+ years of deep experience in building AWS data solutions using services such as storage, virtual machines, serverless technologies, parallel processing technologies, auto-scaling etc. Background in data with experience in architecture, data modeling, data engineering, and data governance using all different types of databases. Working knowledge of agile development including DevOps concepts Experience with AWS SDKs and programmatic access services Proficient in a relevant data/development language for cloud platforms (e.g. R, Python, Java, C#/Unix) Proficient in SQL Cloud certifications are a plus

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Networking
Functional Area: Not Applicable
Role/Responsibilies: AWS Architect

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Keyskills:   AWS data engineering data warehousing architecture data modeling data governance agile development DevOps R Python Java C Unix SQL AWS SDKs