Senior & Lead Data Engineer (610 Years)

We are seeking a Senior & Lead Data Engineer with 6–10 years of experience in designing and building scalable data platforms. The ideal candidate should have solid expertise in Python, Advanced SQL, PySpark/Spark, AWS, Airflow, Kafka/Kinesis, and Databricks.

Experience in developing automated batch and real-time data pipelines, ensuring data quality, governance, and performance optimization is required.

Key Skills:
Python & Advanced SQL
Apache Spark / PySpark
AWS Cloud Services
Apache Airflow & Workflow Orchestration
Kafka / Kinesis Streaming
Databricks (Delta Lake, Unity Catalog, DLT)
dbt (Data Build Tool)
Data Pipeline Automation
Data Governance & Data Quality
Feature Stores
LLM-ready Data Pipelines / RAG
MLOps Exposure

Preferred:
Experience with Snowflake, Redshift, or up-to-date data platforms.
Exposure to GenAI, Vector Databases, and ML/AI data ecosystems.
Solid problem-solving and stakeholder management skills.

📌 Data Engineer Sr Eng Delhi (India)
🏢 IRIS SOFTWARE
📍 India