... services or data intensive environments. - Strong experience building and orchestrating data pipelines with Apache Airflow. • Solid working knowledge of Apache Spark for large-scale data processing. - Strong Python and SQL skills, with a focus on clean, maintainable, production-quality code. Experience designing data models ...
... geometry simplification - to control runtime and cost.- Big-data and pipeline fluency: Advanced SQL plus distributed processing for large spatial workloads (Spark or Dask), and building reliable, repeatable data pipelines.- Productionizing models: Experience turning models into deployable, real-time APIs in collaboration ...
... API. Continuously improve software development practices work across the full stack. In many cases work on designing and developing data pipelines using Apache Spark or Google Data Pipelines. Requirements What you bring (Skills): Experience working with product-based companies. 5-8+ Years Experience in building modern cloud-native ...
... reached production or client delivery - Sound statistical modeling (survey stats, causal inference, experimental design, propensity/uplift) - comfortable in a Spark / Snowflake environment - Strong Python (pandas, scikit-learn, statsmodels) and SQL against large databases - Degree in a quantitative field (Statistics, Data ...
... (CPA, ROAS, CTR, CVR). Build and evolve real-time and near-real-time data pipelines for impressions, clicks, conversions, and attribution using Kafka, Flink, or Spark. Collaborate closely with ML engineers to productionize models such as bid optimization, contextual bandits, reach forecasting, and incrementality models. Drive ...
1400 / year
... applications, APIs, and data pipelines - Strong understanding of REST APIs, authentication patterns, and integration architecture - Hands-on experience with Databricks, Spark, and distributed data processing frameworks - Proficiency in SQL and experience working with large-scale datasets across relational and NoSQL databases - Experience ...