DataOps Engineer

Responsibility for managing and optimizing our data infrastructure, ensuring and monitoring data accuracy, availability, and reliability for our operations. Working closely with dev teams and IT to support data integration, data warehousing, and analytics initiatives. The role is intended for people who are passionate about data, automation, and continuous improvement.

Key Responsibilities

· Monitor and troubleshoot data pipelines, ensuring optimal performance and reliability.

· Design, implement, and maintain data pipelines for MegaDB.

· Collaborate with Dev, IT, Algo and analysts to ensure data availability and quality.

· Proactively identify and rectify data integrity issues.

· Automate data validation and quality checks.

· Oversee data storage, archiving, and retrieval for operational efficiency.

· Collaborate with IT and DevOps teams to ensure data infrastructure scalability and reliability.

· Automate and oversee QA process for MegaDB versions

Maintain and administer Spotfire

Requirements:

· Bachelor's degree in Operations Research, Information Technology, or a related field.

· Proficiency in SQL and scripting languages (Python, Bash).

· Excellent problem-solving skills and attention to detail.

· Strong communication and collaboration skills.

· Ability to work in a fast-paced, dynamic environment.

· Meticulous attention to detail and a passion for data accuracy.

Preferred Qualifications

· Experience working as a DataOps Engineer or in a similar role.

· Experience with containerization and orchestration (Docker).

· Familiarity with data analytics and visualization tools (e.g., Spotfire, Tableau, Power BI).

· Experience working in Linux environments