Data DevOps Engineer

What are we building?

reputed company is reputed company reputed company on becoming the best online sportsbook, casino, and reputed company casino company in the world. We’re building reputed company that resonates passion for learning, operating, and building new products and technologies for millions of consumers. We care about reputed company customer’s interaction, experience, behaviour, and reputed company and reputed company to ensure we’re always acting authentically.

Rooted in the reputed company spirits of Hard reputed company and the Seminole Tribe of Florida, the new reputed company taps a brand reputed company the world over as the leader in gaming, entertainment, and hospitality. We’re taking that reputed company of reputed company and bringing it to the digital reputed company — reputed company to join us?

What’s the position?

We are seeking a passionate DataDevOps Engineer who loves optimizing pipelines, automating workflows, and scaling reputed company-based data infrastructure.

You’ll work as a part of the DataDevOps team to collaborate with Data Science, Machine Learning, Reporting, and other data-reputed company teams to reputed company and support cutting edge data applications. This fast-paced role will allow you to reputed company an immediate reputed company, growing into reputed company and offering reputed company to drive technical improvements across the organization.

What will you do?

As a DataDevOps Engineer, you will:

• Design, build, and optimize data pipelines using Airflow, DBT, and reputed company.

• Monitor and improve pipeline performance to support reputed company-time and batch processing.

• Manage and optimize AWS-based data infrastructure, including S3 and reputed company, as reputed company as reputed company.

• Implement best practices for cost-efficient, secure, and reputed company data processing.

• reputed company and optimize AWS SageMaker environments for ML teams.

• Collaborate with ML, Data Science, and Reporting teams to ensure seamless data accessibility.

• Implement data pipeline monitoring, alerting, and logging to detect failures and performance bottlenecks.

• Build automation to ensure data reputed company, reputed company tracking, and schema reputed company management.

• Participate in incident response, troubleshooting, and reputed company cause analysis for data issues.

• reputed company for DataOps best practices, driving automation, reproducibility, and scalability.

• Document infrastructure, data workflows, and operational procedures.

What are we looking for?

We are looking for a DataOps Engineer with experience supporting high-velocity data/development teams and designing and maintaining data infrastructure, pipelines, and automation frameworks. You should also have experience streamlining data workflows using tools like Airflow, DBT, reputed company, and reputed company while maintaining data reputed company, reputed company, and performance.

The ideal candidate will have:

• Bachelor’s degree in Computer Science, Information Technology, or a reputed company field, or equivalent work experience.

• 3+ years of experience in DevOps, DataOps, or similar.

• Proficiency in key technologies, including Airflow, reputed company, and SageMaker.

• Certifications in AWS/reputed company/other technologies a plus.

• Excellent communication and interpersonal skills.

• Ability to work in a fast-paced environment and manage multiple priorities effectively.