Data Engineer

External Job Ad Amazing Career Moments Happen Here Transforming the insurance industry is ambitious, we know. That’s why at Applied Systems India Pvt Ltd., an Applied Systems company, we’re building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers – all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the Insurtech game, we’re not just redefining what’s achievable, we’re creating a place where amazing career moments are made possible. Position Overview Applied Systems, Inc., a worldwide leader in insurance technology, is currently searching for an experienced Data Engineer with proven experience in Google Cloud Platform (GCP) to join our team. We are on an exciting journey to scale our Data and Analytics capabilities to enable better data-driven decision making across the business. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, optimizing data processes, and ensuring the seamless integration of data from various sources. If you are passionate about data and excited to work on cutting-edge technologies, we want to hear from you! What You will Do Design, develop, operationalize robust and scalable data pipelines with automated data quality checks to support business needs and demonstrate ownership of live data pipelines. Proficiency understanding and implementing data life cycles, data lineage, custom metadata, and data governance. Proficiency implementing BigQuery SQL procedures, functions, and similar, with actionable logging Optimize ETL processes and data workflows to ensure abiding by performance constraints, for efficiency and scalability. Comfortably lead designing and building of development to production data pipelines from data ingestion to consumption using GCP services, Python, BigQuery, DBT, SQL, Apache Airflow, Celigo. Expertise in JSON, XML, text parsing using Dataflow, Python, or batch jobs. Advocates and practices software best practices in leveraging reusable components in implementation. Design, develop and maintain robust, and scalable data models and schemas to support analytics and reporting requirements. Optimize data processing performance, ensure high availability, scalability of data systems and solutions. Implement monitoring and alerting mechanisms to proactively identify and resolve issues. Ensure data quality and consistency through rigorous testing and validation processes in development and production tiers. Troubleshoot and resolve data-related issues promptly. Create, update, and maintain technical documentation of the data processes, pipelines, and models. Stay updated with industry trends and technologies to continuously improve our data engineering practices. What You will Need to Succeed 4+ years of experience…