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Senior Data Engineer at Schneider Electric builds and operates event-driven streaming pipelines (Kafka, Flink) for a cloud-based DCIM SaaS product, shaping scalable data architectures and ensuring reliability and governance.
Senior Data Engineer builds and maintains cloud-based data pipelines and models for media analytics, enabling 1:1 retargeting and CRM for global brands using Spark, Python, and GCP/AWS/Azure.
Lead a team of data engineers building and maintaining data pipelines for Open Intelligence, focusing on adtech/martech data connectors using Python, SQL, and Scala in cloud environments like GCP/AWS.
Design and operate scalable AWS-based data pipelines and platforms to power analytics and AI products, using Python, Scala, Spark, and Flink.
Leads a data engineering team building open intelligence pipelines with SQL, Python/Scala, and modern data tools while mentoring engineers and collaborating with product teams.
Build scalable features for an early-childhood platform using Scala, TypeScript, React, and GraphQL, while integrating AI tools into the development workflow.
Senior Software Engineer building scalable infrastructure and tools to support data-driven digital experiences, optimizing backend systems and mentoring engineers.
Lead the design and implementation of enterprise-scale data platforms (data warehouses, lakes, and analytics) using SQL, Python, and cloud tools, while mentoring a team and setting technical standards.
Build and scale a modern cloud data platform (Snowflake/Databricks) to power analytics and reporting for a MAS-licensed fintech bridging fiat and digital payments.
Build and scale backend services and big-data pipelines using Spring Boot, Spark/Scala, and Kubernetes, while owning CI/CD, monitoring, and DevOps tooling for a global test-and-measurement platform.
Builds high-performance big-data apps and cloud-native pipelines on Azure using Scala, Python, and Databricks, while integrating AI-assisted engineering practices.
Designs, builds, and optimizes ETL pipelines into a data warehouse, ensuring data quality and pipeline robustness while collaborating with data science and analytics teams.
Build and maintain scalable data pipelines on GCP, using Python, SQL, Spark/Scala, and Airflow to enable analytics and automation for client projects.
Design and build data pipelines and architectures to ingest, transform, and store data for clients, using Python, SQL, ETL tools, and cloud systems.
Build and maintain Cloudera’s cloud-native streaming platform (Apache Kafka, Strimzi, Kubernetes) to power real-time data applications for enterprise customers.
Build and maintain Cloudera’s cloud-native streaming analytics platform using Apache Flink and Kubernetes, enabling customers to deploy data-heavy streaming apps at scale.
Build and maintain distributed Java-based microservices for financial-services clients using AWS/Azure, REST APIs, and cloud-native tooling.
Senior Java engineer leads large-scale data migrations and builds petabyte-level ETL pipelines using Java, Spark, and cloud platforms, while mentoring teams and ensuring data integrity.
Design and lead the transformation of Takealot’s data platform from batch to real-time, setting technical standards and governance for a high-scale ecommerce and logistics ecosystem.
Senior Big Data Engineer designs and builds scalable data pipelines and platforms using Spark, Hadoop, and cloud-native tools to support analytics and ML workloads.
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