Data Engineering Lead
- Iris Software
- 10 - 12 years
- Noida, Gurugram
- 4 days ago
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Job Description
Working at Iris: Be valued, be inspired, be your best. At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow. Our employee value proposition is about Being Your Best as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. Were a place where everyone can belong.
Iris Software is a 35 year old IT Service organization which has been a trusted software engineering partner to several Fortune 500 companies for over three decades. At Iris Software, our vision is to be our clients most trusted technology partner, and the first choice for the industrys top professionals to realize their full potential.
We help clients realize the full potential of technology-enabled transformation by bringing together a unique blend of domain knowledge, best-of-breed technologies, and experience executing essential and critical application development engagements. Our highly-experienced talent and rightsized teams help develop core, complex, and mission-critical applications and solutions for leading enterprises across Capital Markets/Front office operations, Banking, Investment Management, Brokerage, Risk and Compliance, Insurance.
With over 4,300 associates across India, U.S.A, New York and Canada. We help our enterprise clients thrive with Our highly-experienced talent and rightsized teams help to develop core. 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.
https://www.linkedin.com/company/iris-software-inc./
Role- Lead Data Engineer
Location- Noida/ Gurugram/ Pune
Work Mode- Hybrid (3 days)
Shift Timings- 12:30 PM 9:30 PM IST
Skills Required-
- 10+ years of experience in Data Engineering.
- 5+ years of hands-on experience with AWS data services.
- Strong proficiency in Python and/or Scala.
- Experience building ETL/ELT pipelines at scale.
- Strong SQL and data modeling expertise (OLAP, dimensional modeling, lake house)
- Hands-on experience with:
- Spark/ PySpark
- Airflow or similar orchestration tools
- REST APIs and microservices
- Experience using GitHub Copilot or similar AI-assisted development tools in enterprise environments.
- Solid understanding of IAM, encryption, networking, and cloud security best practices.
Preferred Qualifications
- AWS Certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics).
- Experience with streaming technologies (Kafka, Kinesis).
- Experience with containerization (Docker, Kubernetes).
- Knowledge of Delta Lake, Iceberg, or Hudi.
- Experience implementing data observability solutions.
Leadership & Soft Skills
- Proven ability to lead engineering teams and drive architectural decisions.
- Strong stakeholder communication skills.
- Ability to balance delivery velocity with engineering excellence.
- Experience working in Agile/Scrum environments.
Nice to Have
- Experience implementing cost governance and FinOps best practices on AWS.
- Exposure to AI/ML pipeline integration.
- Experience designing multi-account AWS architectures.
If interested, please share your resume on ka*********h@ir*********e.com
Notice Period- Max 15 Days
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: Iris SoftwareLocation(s): Noida, Gurugram
Keyskills: Pyspark Data Engineering ETL AWS Python Big Data Spark Data Modeling Machine Learning SQL
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