1. Strong proficiency in SQL, Python, and PySpark

These are essential skills and must be evaluated thoroughly.

2. Minimum 2 years of handson experience in Databricks (mandatory)

Experience on AWS or GCP is preferred, but either is acceptable.

Detailed JD for Lead Data Engineer:

Skillset Required

7+ years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.

Expertise in big data technologies such as Apache Spark and real-time streaming technologies like Apache Kafka.

Strong programming skills in Python, Pyspark, SQL Mandatory

Advanced knowledge of a major cloud platform (AWS) and its ecosystem of data services AWS preferred

Proficiency with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.

Strong understanding of advanced data modeling techniques and modern data warehouses.

Ability to design scalable, fault-tolerant, and maintainable distributed systems.

Excellent communication and stakeholder management skills.

Experience in atleast one of these domains SCM / Marketing / Federated Model Good to have

Senior Data Engineer