Senior Data Engineer
18 ore fa
Join to apply for the Senior Data Engineer role at Prima.Is it a thrilling opportunity in a dynamic environment that is constantly evolving? Are you curious about how a company in the Insurance sector leverages cutting-edge technologies to provide great value to its customers? If so, this could be your next big step.At Prima, IT technology is at the core of our operations. Our Engineering and Product teams are passionate, innovative, and committed to continuous learning, employing the latest stacks and methodologies.As part of our global community, you'll have the opportunity to take on new challenges, grow your career, and contribute to a culture that values every voice.Since 2015, we've aimed to offer affordable car insurance designed for everyone, fostering a success-driven culture. We now seek your expertise to steer us in an exciting new direction.We prioritize wellbeing, autonomy, and development, offering benefits like flexible work arrangements, a learning marketplace, and regular growth sessions with your manager.Our benefits include private medical insurance, gym discounts, and wellbeing initiatives, supporting your health and happiness.You will join our pricing and underwriting domain, bridging machine learning/data science and engineering. Collaborating with data scientists and ML engineers, you'll develop technical solutions for real-world business challenges, driving transformative projects and shaping our future.Your work will focus on Data Architecture, Feature Engineering, Optimization, and Data Governance, applying your expertise to Prima's specific scenarios and innovating where knowledge gaps exist.As a Data Engineer, your responsibilities include:Designing data product architectures for analytics and data science, focusing on forecasting, feature engineering, customer behavior, and data source integration.Leading data transformation efforts by establishing best practices in data modeling, performance optimization, and Data Governance to ensure data consistency, availability, and reliability.Building reusable technology to enable teams to ingest, store, transform, and serve their data products.Collaborating with data scientists and ML engineers to refine data infrastructure and explore new product opportunities.Staying updated on emerging technologies through continuous learning, open source testing, and community activities like meetups.Minimum Requirements:Expertise in batch, distributed data processing, and near real-time streaming pipelines with Kafka, Flink, Spark, etc. Experience with Databricks is a plus.Experience implementing Data Lake/Big Data platforms on cloud solutions, preferably AWS.Proficiency in Python and software engineering best practices.Knowledge of RDBMS, Data Warehousing, Data Modeling with SQL (Redshift, PostgreSQL), and NoSQL databases.Experience with DevOps, CI/CD, and Infrastructure as Code (IaC) deployment practices.Nice to Have:Experience in Data Quality and Data Governance techniques.Knowledge of MLOps and Feature Engineering.Familiarity with data analysis and ML tools like scikit-learn, pandas, NumPy, XGBoost, LightGBM.Experience with tools like Apache Oozie, Apache Airflow.Prima is committed to diversity and equal employment opportunities regardless of race, color, gender, religion, sexual orientation, nationality, disability, or other protected characteristics.If you believe you're a good fit, join us in the fast lane<br>#J-18808-Ljbffr
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