Lead - Data Engineer

Lead - Data Engineer Location: Noida, UP, India Company: Iris Software Job Description 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. 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. 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