DataOps/Data Pipeline Engineer

About the Role :

Key Responsibilities :

- Develop and optimize ETL/ELT processes across diverse data sources.

- Build and support data flows into data warehouses such as Snowflake.

- Ensure the reliability, performance, and scalability of production data systems.

- Handle production support incidents and proactively improve monitoring and alerting.

- Collaborate with cross-functional teams to deliver data-driven solutions aligned with business goals.

- Automate repetitive tasks and drive best practices in DataOps.

Mandatory Skills :

- Advanced SQL skills and experience with ETL development

- Proficient in Python for scripting and pipeline automation

- Solid understanding of Production Support in data environments

- Experience working with Snowflake data warehouse

Good to Have Skills :

1. AWS Glue, S3, DynamoDB, MemoryDB, Athena, Redshift

2. AWS ECS, EKS, Lambda, IAM, and cloud-based support operations

Soft Skills :

- Strong verbal and written communication skills

- Ability to work in a collaborative Agile/Scrum environment

- Self-driven and proactive in managing priorities