Data Operations Engineer

Location: Gurgaon,None,None

About US:- 

We turn customer challenges into growth opportunities. 

Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences. 

We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between 

businesses and the people they serve. 

Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe 

Job Profile: DataOps Engineer

Exp :- 4-8 Years

Overview

We are seeking a dedicated DataOps Engineer to join our team. The role involves understanding data models across client environments, deploying new versions, maintaining existing ones, and documenting resources. Coordination with developers and customer support teams (CSTs) is essential.

Key Responsibilities
◦ Data Model Management:
◦ Understand and manage data models across different client environments.
◦ Deploy new versions of data models and maintain existing ones.
◦ Ensure data consistency and accuracy.
◦ Documentation:
◦ Document all existing resources comprehensively.
◦ Maintain up-to-date records of data models, deployments, and changes.
◦ Team Coordination:
◦ Coordinate with developers and CSTs to ensure smooth operations.
◦ Provide support and guidance to development teams, including problem-solving and debugging.
◦ Pipeline Maintenance:
◦ Manage and create new pipelines from various sources.
◦ Apply best practices within CI/CD for pipeline stabilization and data quality controls.
◦ Ensure reliable operations and data quality.

Skills and Qualifications
◦ Technical Skills: Proficiency in SQL.
◦ Exposure to Databricks is a plus.
◦ Experience with Azure Data Factory (ADF) for building and managing data pipelines.
◦ Strong communication skills.

What We Offer 

• Professional Development and Mentorship. 

• Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work Certified). 

• Health and Family Insurance. 

• 40+ Leaves per year along with maternity C paternity leaves. 

• Wellness, meditation and Counselling sessions.