Data Engineer

Hiring: Data Engineer (5 Positions)

Location: Bangalore / Kochi

Work Model: Hybrid (Mandatory)

Experience: 58 Years

Interview Process: Virtual + 1 Face-to-Face (Mandatory)

Joining: Immediate joiners preferre

Role Overview

We are looking for skilled Data Engineers with strong hands-on experience in building and managing scalable data pipelines. The ideal candidate should have a solid foundation in data engineering concepts along with practical exposure to modern data platforms.

Key Responsibilities

• Design, develop, and optimize scalable data pipelines
• Perform data processing and feature engineering for ML models
• Work on ETL workflows including execution, debugging, and monitoring
• Implement and manage data warehouse structures
• Enable catalogs, create schemas, and build robust data tables
• Collaborate with cross-functional teams to support data-driven initiatives

Technical Skills

Primary Skills:

• PySpark / Python for data processing and feature generation

Secondary Skills:

• Databricks (ETL execution, debugging, monitoring)

Core Requirements:

• Strong experience with SQL
• Solid understanding of data warehouse concepts
• Hands-on experience beyond Databricks notebooks (real-world implementation)
• Practical exposure to catalogs, schemas, and table creation

Good to Have:

• Kedro (pipeline orchestration, node-based workflows, dataset management)

What Were Looking For

• Strong problem-solving and analytical mindset
• Good communication skills (mandatory)
• Ability to work in a hybrid environment