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Build and maintain Scribd’s ML platform, designing services and tools that power AI features for millions of users globally.
Build and automate ML pipelines on Google Cloud using Vertex AI, TensorFlow, and Kubernetes to deploy scalable AI models with CI/CD and monitoring.
Designs and maintains scalable data pipelines and warehouses for mission-critical systems, integrating real-time and batch data with Java, Python, Spark, and SQL.
Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard…
Build and maintain data pipelines for IoT and mobile products, using Python/Java/Scala and big data tools like Spark and ClickHouse to support analytics and reporting.
Build and maintain data pipelines, ETL workflows, and dashboards to support AI product analytics and evaluation using SQL, Python, and modern data warehouses.
Design and build scalable data pipelines and frameworks to ingest, process, and serve clean data for analytics and decision-making using Python, Spark, Airflow, and cloud platforms.
Senior Data Engineer builds and maintains scalable ETL pipelines and distributed data infrastructure using Python, Spark, AWS, and GCP.
Build and maintain scalable data pipelines using Python, Spark, and cloud services (AWS/GCP) to process and transform large datasets efficiently.
Build and maintain large-scale data pipelines using Spark, Scala/Java, and Python for financial data processing across global teams.
Build and maintain large-scale data pipelines using Spark and Scala for financial clients, collaborating with global teams to deliver robust big-data solutions.
Design and build scalable data pipelines, warehouses, and lakes using Python, SQL, Spark, and cloud platforms to power analytics and decision-making.
Build and maintain cloud cost visibility pipelines and datasets using SQL, Python, AWS/GCP, and Snowflake to power cost-aware decisions for Product, Engineering, and Finance teams.
Build and maintain large-scale data pipelines for banking and insurance clients using Spark, Scala, Kafka, and Hadoop in a Big Data environment.
Design and implement Azure Data Factory pipelines, manage ADLS storage, and build ETL workflows using Python, Scala, and PySpark.
Designs and maintains scalable data pipelines and cloud infrastructure to ingest, process, and serve clean data for analytics and operations using Python, SQL, ETL tools, and cloud platforms.
Design, develop, and test backend components for a retail-banking platform using Java/Spring, microservices, and DevOps tooling, while supporting production and collaborating in an agile squad.
Build and optimize large-scale Apache Spark data pipelines in Scala/Python for a global IT services provider, ensuring performance and reliability across distributed systems.
Senior backend engineer building and evolving a Scala/JVM cloud platform for urban services like waste collection and green-space maintenance, migrating from monolith to modular microservices on AWS.
Design and lead TÜV SÜD’s data architecture, building scalable, secure pipelines and reusable data products to enable data-driven decisions and digital transformation.
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