Company Overview :

CG-VAK Software & Exports is a global IT services provider with over three decades of experience in delivering robust software solutions and digital transformation services. Operating across diverse sectors including healthcare, finance, and retail, the company specializes in custom application development, cloud migration, and enterprise data management. With a strong focus on engineering excellence, CG-VAK empowers global enterprises to optimize their operations through scalable, high-performance technology frameworks.

Role Overview :

As a Senior Data Engineer based in Bangalore, you will be responsible for architecting and maintaining the data infrastructure that powers our client's analytical capabilities. You will work closely with cross-functional teams, including data scientists and software architects, to build scalable pipelines that transform raw information into actionable business intelligence. Your work will directly influence the efficiency of data-driven decision-making processes, ensuring that our stakeholders have reliable, high-quality data at their fingertips to drive business growth.

Key Responsibilities :

- Design and implement complex ETL pipelines to ingest, process, and store large-scale datasets from disparate sources.

- Develop robust data models that support high-performance analytics and reporting requirements for diverse business units.

- Optimize existing data management workflows to improve system performance, reduce latency, and ensure data integrity.

- Collaborate with cloud infrastructure teams to deploy and manage data solutions within AWS environments.

- Mentor junior engineers by conducting code reviews and promoting best practices in data architecture and software development.

- Troubleshoot and resolve data pipeline bottlenecks to ensure seamless delivery of information to end-users.

Required Skillset :

- Demonstrated expertise in building and managing scalable data pipelines using Python and modern ETL frameworks.

- Proven ability to design efficient data models and manage large-scale data warehouses in cloud-native environments.

- Strong proficiency in AWS services, specifically in leveraging tools like S3, Redshift, Glue, or EMR for data processing.

- Ability to communicate complex technical concepts effectively to non-technical stakeholders and collaborate within a high-performing team.

- Minimum of 4 - 8 years of professional experience in data engineering or a closely related technical domain.

- Strong analytical mindset with the ability to adapt to the fast-paced, hybrid work environment at our Bangalore office.