Senior Data Engineer – Snowflake, Azure & AI (Databricks, Spark)

Role: Data Engineer

Position Type: Full-Time Contract (40hrs/week)

Contract Duration: Long term

Work Schedule: 8 hours/day (Mon-Fri)

Location: Pune, India (Hybrid 2 days/week onsite)

We are looking for a Senior Data Engineer with strong experience in Snowflake, Azure, and modern data platforms, along with exposure to AI-driven solutions.

Key Responsibilities

• Design and build scalable data pipelines (batch & real-time)
• Work with Snowflake, Databricks, and Azure data platforms
• Develop data solutions using Python, Spark, SQL, and Java
• Collaborate with Product Managers and Data Scientists
• Implement CI/CD pipelines and ensure data reliability
• Leverage AI tools to improve automation and efficiency

Requirements

• 5+ years of experience in Data Engineering / Software Engineering
• Strong experience with Snowflake and Azure
• Experience with Databricks, Spark, Kafka
• Strong programming skills (Python, SQL, Java)
• Experience building scalable data pipelines (batch + real-time)
• Knowledge of CI/CD and Linux environments
• Exposure to AI/ML concepts and tools

Nice-to-Haves

• Experience with Lambda Architecture
• Familiarity with Machine Learning / Deep Learning
• Strong problem-solving and independent working ability