Make an impact
of your own.

Your everyday

• Design, develop, and maintain robust and scalable data pipelines to acquire, process, and transform data from various sources, adhering to the principles of DataOps to foster seamless collaboration and efficient data flow.
• Monitor and troubleshoot data pipelines, identifying and resolving issues to minimize disruptions and maintain consistent data delivery.
• Implement and enforce data quality standards using DataOps practices, conducting regular audits and checks to identify and rectify data inconsistencies, errors, and anomalies.
• Collaborate with data engineers to set up automated data validation and testing frameworks, ensuring accurate and reliable data.
• Work closely with stakeholders to define and implement data governance policies grounded in DataOps principles, ensuring compliance with industry regulations and internal data management guidelines.
• Assist in establishing data access controls, data retention policies, and data masking/anonymization processes to protect sensitive information and enable secure collaboration.
• Embrace the data-centric nature of DataOps to foster collaboration across teams. Partner with data analysts, scientists, and business teams to understand data requirements and provide necessary data support.
• Continuously monitor and fine-tune data pipelines to ensure timely data availability, contributing to the reliability of data-driven decision-making.
  

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience working with data engineering, data operations, or similar roles, preferably in a startup or fast-paced environment.
• Strong proficiency in SQL, scripting languages (Python, Bash, etc.), and experience with modern data processing and orchestration technologies. such as Airflow, Kafka, DBT, Spark
• Familiarity with data integration tools, ETL processes, and data warehousing concepts.
• Solid understanding of data governance, data quality, and data security principles.
• Experience with cloud platforms (AWS) and related services for data storage and processing.
• Excellent problem-solving skills and attention to detail, with the ability to troubleshoot and resolve complex data-related issues.
• Strong communication and collaboration skills to work effectively with cross- functional teams.
• Prior experience in the insurance or financial sector is a plus.