Associate Technical Architect - Data at Quantiphi Inc
Bengaluru, karnataka, India -
Full Time


Start Date

Immediate

Expiry Date

22 May, 26

Salary

0.0

Posted On

21 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Warehouse, Data Lake, AWS, S3, Step Functions, Glue, Secrets Manager, Security, Networking, Disaster Recovery, Scalability, Resilience, Python, SQL, Airflow, Terraform

Industry

IT Services and IT Consulting

Description
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Must have Skills: 8+ years of experience in Data Warehouse or Data Lake build on AWS. Experience in working with global distributed teams Hands on knowledge of AWS services like S3,Step functions,Glue,Secrets Manager Understanding of key AWS concepts like Security, networking, Disaster Recovery, Scalability and resilience. Ability to build cloud based data platform architectures explaining pros/ cons of various services used. Coding skills in Python. Excellent SQL skills and experience in various DB engines like DB2. Deep Understanding of MPP Database architecture. Ability to tune queries, optimize performance. Ability to design resilient data pipelines using orchestration tools like Airflow / Step functions Good to have skills: Experience of working on enterprise greenfield projects that have Application development workload as well. Experience of working for customers/workloads in the FSI sector domain with use cases. Experience in building data pipelines integrating with data virtualization tools like Denedo & data governance tools like Collibra Exposure to SSIS Exposure to IaC tools like Terraform and to CI/CD tools Other: Demonstrate problem solving, communication and organizational skills, a positive attitude, and the proven ability to negotiate and influence others to obtain desired results. Ability to speak in business terms, as well as the ability to effectively communicate both internally and externally. Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions. Ability to clearly communicate technical roadmap, challenges and mitigation. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Thank you for your interest in Quantiphi! We are a team that dreams together and collaborates to ensure success. We are currently looking for exceptional individuals who can join us and contribute to a fun, diverse and hybrid work culture. As a part of the Quantiphi family, you will get ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe. If this excites you, explore our current openings and apply to any job roles that suit and interest you. Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. We solve the toughest and most complex business problems with the latest and cutting-edge technologies and to make this happen, we have a vibrant, diverse and talented set of professionals we proudly refer to as the Quantiphi family. Our culture is built on transparency, diversity, integrity, learning and growth. We are committed to provide our teams with an environment that helps them to learn, grow and flourish in their professional as well as personal lives.

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Responsibilities
The role involves building cloud-based data platform architectures on AWS, explaining the pros and cons of various services used. Responsibilities also include designing resilient data pipelines using orchestration tools and optimizing database performance.
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