Consultant- Data Engineer!

Ready to build the future with AI

At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment.

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atand on,,, and.

Inviting applications for the role of Consultant- Data Engineer!

Responsibilities

Responsibilities

• 
  

  (The primary tasks, functions and deliverables of the role)

• 
  

  Design and build reusable components, frameworks and libraries at scale to support analytics products

• 
  

  Design and implement product features in collaboration with business and Technology stakeholders

• 
  

  Identify and solve issues concerning data management to improve data quality

• 
  

  Clean, prepare and optimize data for ingestion and consumption

• 
  

  Collaborate on the implementation of new data management projects and re-structure of the current data architecture

• 
  

  Implement automated workflows and routines using workflow scheduling tools

• 
  

  Build continuous integration, test-driven development and production deployment frameworks

• 
  

  Analyze and profile data for designing scalable solutions

• 
  

  Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues

Qualifications we seek in you!

Minimum Qualifications

Experience:

• 
  

  Strong understanding of data structures and algorithms

• 
  

  Strong understanding of solution and technical design

• 
  

  Has a strong problem solving and analytical mindset.

• 
  

  Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders

• 
  

  Able to quickly pick up new programming languages, technologies, and frameworks

• 
  

  Experience building cloud scalable, real time and high-performance data lake solutions

• 
  

  Fair understanding of developing complex data solutions

• 
  

  Experience working on end-to-end solution design

• 
  

  Willing to learn new skills and technologies

• 
  

  Has a passion for data solutions

Preferred Qualifications/ Skills

1. 
   

   Hands on experience in Databricks and AWS - EMR [Hive, Pyspark], S3, Athena.

1. 
   

   Familiarity with Spark Structured Streaming

1. 
   

   experience working experience with Hadoop stack dealing huge volumes of data in a scalable fashion

1. 
   

   hands-on experience with SQL, ETL, data transformation and analytics functions

1. 
   

   hands-on Python experience including Batch scripting, data manipulation, distributable packages

1. 
   

   experience working with batch orchestration tools such as Apache Airflow or equivalent, preferable Airflow

1. 
   

   working with code versioning tools such as GitHub or BitBucket expert level understanding of repo design and best practices

1. 
   

   Familiarity with deployment automation tools such as Jenkins

1. 
   

   hands-on experience designing and building ETL pipelines expert with data ingest, change data capture, data quality hand on experience with API development

1. 
   

   designing and developing relational database objects knowledgeable on logical and physical data modelling concepts some experience with Snowflake

1. 
   

   Familiarity with Tableau or Cognos use cases

Why join Genpact

• 
  

  Lead AI-first transformation - Build and scale AI solutions that redefine industries

• 
  

  Make an impact - Drive change for global enterprises and solve business challenges that matter

• 
  

  Accelerate your career&mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills

• 
  

  Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace

• 
  

  Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build

• 
  

  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&rsquos 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 %27starter kit,%27 paying to apply, or purchasing equipment or training.