Data Engineer

About the role

The Data Engineer will design, develop and maintain robust data solutions that support the organization’s data generation, collection and processing needs. Working from our Bhubaneswar office, you will build efficient pipelines and ensure high data quality to enable seamless data migration and analytics.

Key responsibilities

• Design, develop and maintain end‑to‑end data pipelines and ETL workflows.
• Implement data quality checks and validation processes.
• Optimize and troubleshoot distributed data processing jobs for performance and cost efficiency.
• Collaborate with cross‑functional teams to gather requirements and deliver scalable solutions.
• Document data processes and share knowledge with junior team members.

Required profile

• At least 3 years of professional experience working with PySpark.
• Strong understanding of distributed computing and big‑data frameworks.
• Experience building and managing data pipelines and ETL processes.
• Ability to work independently and become a subject‑matter expert.

Required skills

• Proficiency in PySpark.
• Knowledge of data storage solutions and data modeling concepts.
• Familiarity with data quality assurance techniques.