Data Engineer

Company Description

Derisk360 is a cutting-edge leader in the AI revolution, specializing in transforming business risks into strategic opportunities through data-driven insights. Leveraging expertise in artificial intelligence and machine learning, we empower businesses to make informed decisions and turn challenges into assets. With a proven track record of innovative projects and partnerships, we remain committed to driving excellence in the world of data analytics.

Role Description

This is a full-time, on-site Data Engineer role. We are looking for an experienced Data Engineer with strong expertise in AWS, DBT, Databricks, and Apache Airflow to join our growing data engineering team.

The Data Engineer will design, build, and optimize data systems and pipelines to support analytics and operational needs. Responsibilities include data modeling, implementing ETL processes, and managing data warehousing solutions. The role also involves working closely with cross-functional teams to ensure seamless data integration and contributing to continuous process improvements.

Location: Bangalore / Chennai (Preferred)

Experience: 6+ Years

Immediate joiners preferred

The ideal candidate will design, develop, and maintain scalable data pipelines and data platforms to support analytics and business intelligence initiatives.

• Design and build scalable data pipelines using AWS, Databricks, DBT, and Airflow.
• Develop and optimize ETL/ELT workflows for large-scale data processing.
• Implement data transformation models using DBT.
• Orchestrate workflows using Apache Airflow.
• Work with Databricks for big data processing and analytics.
• Ensure data quality, reliability, and performance optimization.
• Collaborate with data analysts, engineers, and business teams.

Strong experience with AWS data services

Hands-on experience with Databricks

Experience in DBT (Data Build Tool)

Workflow orchestration using Apache Airflow

Strong SQL and Python skills

Experience in data warehousing and ETL pipelines

Experience with Spark / PySpark

Knowledge of data lake / lakehouse architecture

Experience in Agile environments