Architect - Data (AbInitio) | AWS

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Mumbai, Maharashtra
Artificial Intelligence • Big Data • Machine Learning
The Role

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!

Role: Associate/Architect - Data (AbInitio)

Work Location: Bangalore/Mumbai/Trivandrum (Hybrid)

Experience: 7+ Years

Must Have:

  • To help migrate  ETL jobs from the existing Ab Initio to AWS Cloud

  • Design and build a migration strategy

  • Interpret complex graphs/jobs implemented in Ab Initio

  • Help the Data Engineering  team to understand the business logic, source and target data, and any edge cases to be considered during development 

  • Create a high-level block diagram/flow of the job - Source tables, filters, joins, the target schema, and data 

  • Help with validation of output data generated through Spark code against the Ab Initio output

  • Ability to communicate technical roadmap, challenges, and mitigation

  • Technical Point of contact between clients and offshore technical team 

  • 5+ years of relevant work experience in Ab Initio

  • Familiarity with SDLC concepts and processes

Good to have skills:

  • Python, Pyspark

  • AWS Glue, Lambda, Redshift

  • Automation and CICD Tools

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

The Company
HQ: Marlborough, MA
3,494 Employees
On-site Workplace
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business.
Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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