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Iris Software

Lead Data Engineer

Noida · Staff/Principal

Recently posted - highest visibilityVerified listingPosted 21h ago

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97Experience

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Skills required

14 listed
Value PropositionsApache SparkApache KafkaAmazon AuroraAWS GlueLogisticsMLOps (Machine Learning Operations)Python (Programming Language)+6 more
Value PropositionsApache SparkApache KafkaAmazon AuroraAWS Glue

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Job description

Why Join Iris?
Are you ready to do the best work of your career at one of India’s Top 25 Best Workplaces in IT industry? Do you want to grow in an award-winning culture that truly values your talent and ambitions?
Join Iris Software — one of the fastest-growing IT services companies — where you own and shape your success story.
 
About Us  
At Iris Software, our vision is to be our client’s most trusted technology partner, and the first choice for the industry’s top professionals to realize their full potential.
With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.
Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working with Us
At Iris, every role is more than a job — it’s a launchpad for growth.
Our Employee Value Proposition, “Build Your Future. Own Your Journey.” reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.
We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.
Curious what it’s like to work at Iris? Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.

Job Description

Mandatory Skills:

Python, Apache Spark, Data Quality & Validation, PySpark, SQL, Amazon Kinesis, Apache Kafka, Databricks Workflows, Delta Lake on Databricks

Additional Skills:

AWS S3 + Amazon Aurora + DynamoDB, AWS Glue, AWS Redshift, Data Governance Frameworks, GitHub

Key Responsibilities

  • Design scalable data engineering solutions using PySpark and modern distributed data processing frameworks.
  • Define data ingestion, transformation, and processing architectures aligned with business and analytical objectives.

Behavioral Competencies

  • Demonstrates strong ownership while driving data engineering excellence.
  • Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.

 

Mandatory Competencies

Perks and Benefits for Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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