Sr. Data Engineer

Key Responsibilities:

• Build, optimize, and maintain complex data pipelines using AWS Glue, Step Functions, Databricks Workflows, and related technologies.
• Design scalable data architectures using advanced modeling approaches such as Medallion Architecture and Dimensional Modeling.
• Implement real-time ingestion and streaming solutions using AWS Kinesis and Kafka.

Qualifications:

• 6–8+ years of experience in data engineering with focus on large-scale distributed systems and production environments.
• Expert-level proficiency in Python, PySpark, and strong SQL skills.
• Hands-on experience with Snowflake or Databricks within an AWS ecosystem.

Compensation & Culture:

• Competitive compensation package of 4,200,000 INR annually.
• Fully remote work environment with flexibility and autonomy.
• Culture focused on accountability, ownership, innovation, and engineering excellence.