Lead - Data Engineer

Location: Noida, UP, India

Company: Iris Software

- 8+ 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, lakehouse).
- 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.
- Solid 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.

Mandatory Competencies
- Data AI - Data Engineering - Data Quality Validation
- Data AI - Data Engineering - Apache Kafka
- Data AI - ETL OTHERS - Snowflake
- Big Data - Big Data - Pyspark
- Data Science and Machine Learning - Data Science and Machine Learning - Apache Spark
- Data Science and Machine Learning - Data Science and Machine Learning - Python
- Data Science and Machine Learning - Data Science and Machine Learning - Databricks
- Database - Database Programming - SQL

📌 Lead - Data Engineer (Noida)
🏢 IRIS SOFTWARE
📍 Noida