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Data Architect - Data Engineering 4D

Genpact
Dongargarh, IND
Full-time
Mid
Hybrid
Discovered 1 weeks ago
azuredatabricksspark

Full Job Posting

Qualifications

  • Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
  • Certifications
  • Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle
  • Accounts Payable Process, Accounts Payable Process, Accounts Receivable (AR), Aerospace Manufacturing, Agile Methodology, Automotive Manufacturing, Banking Capital Markets, Change Management, Claims Management, Client Relations, Cloud Computing, Collaboration Tools, Computer Vision, Consumer Electronics, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Design Thinking, Electronic Hardware, Entertainment Journalism, Executive Presence, Healthcare Payors, Inclusion, Industrial Manufacturing Processes, Information Security {+ 26 more}
  • Language
  • English (Required)
  • Language Proficiency -
  • Proficient - C2
  • Additional Job Location -
  • Job Type
  • Regular
  • Master Skill List -
  • Data Engineering
  • Remote Type -
  • Hybrid
  • Work Shift -
  • Flex Time (India)
  • Why join Genpact?
  • Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
  • Make an impact – Help global enterprises solve business challenges that matter
  • Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
  • Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
  • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
  • Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
  • Let’s build tomorrow together.
  • Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
  • Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Required Skills

  • Accounts Payable Process, Accounts Payable Process, Accounts Receivable (AR), Aerospace Manufacturing, Agile Methodology, Automotive Manufacturing, Banking Capital Markets, Change Management, Claims Management, Client Relations, Cloud Computing, Collaboration Tools, Computer Vision, Consumer Electronics, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Design Thinking, Electronic Hardware, Entertainment Journalism, Executive Presence, Healthcare Payors, Inclusion, Industrial Manufacturing Processes, Information Security {+ 26 more}
  • Language
  • English (Required)
  • Language Proficiency -
  • Proficient - C2
  • Additional Job Location -
  • Job Type
  • Regular
  • Master Skill List -
  • Data Engineering
  • Remote Type -
  • Hybrid
  • Work Shift -
  • Flex Time (India)
  • Why join Genpact? • Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter • Make an impact – Help global enterprises solve business challenges that matter • Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead • Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Responsibilities

  • They are responsible for creating and maintaining the architecture for big data systems to ensure optimal performance, scalability, and reliability.\n Roles and Responsibilities: 1. Develop and implement data strategies for large-scale data solutions; 2. Design and maintain data architecture for big data systems; 3. Collaborate with cross-functional teams to understand data requirements and design appropriate solutions; 4. Optimize data storage and retrieval processes for efficiency and performance; 5. Ensure data security, integrity, and compliance with data governance policies; 6. Evaluate and recommend new technologies and tools to enhance data architecture and analytics capabilities.

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