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Builds and maintains Salesforce Data Cloud and Databricks pipelines to integrate, transform, and unify customer data for real-time decisioning, personalisation, and analytics in high-security enterprise environments.
Builds and optimizes scalable data pipelines on Azure using Databricks, PySpark, Delta Lake, and related services for ETL/ELT and streaming workloads.
Designs and maintains an AWS-based Data Lake, optimizing batch/streaming pipelines with Spark, Python, and Kafka to ensure scalability and performance while collaborating on data architecture and incident resolution.
Build and maintain Preply’s scalable data lake and real-time ingestion pipelines, ensuring high-quality, governed data assets for analytics and ML across 180+ countries.
Design and maintain AWS-based data pipelines and a corporate Data Lake, using Spark, Python, and Kafka to process batch and real-time data for banking and insurance clients.
Build and maintain AWS-based data pipelines and Data Lake frameworks using Spark, Python, and Kafka to process batch and real-time data at scale.
Design and maintain ETL pipelines to migrate datasets into Schneider Electric’s IDS Next data lake, ensuring data quality and enabling reporting and analytics.
Sentra is the global leader in cloud-native data security for the AI era. The company’s mission is to empower organizations to confidently scale their data operations across multi-cloud and on-premises environments…
Build and maintain automated test frameworks (Java, Selenium, JUnit, Jenkins) to validate software and data pipelines for an airport’s IT systems, ensuring reliability and rapid feedback in releases.
Data Engineer – Talend to Spark Migration Singapore We are looking for a Data Engineer with strong experience in Talend ETL workflows and Apache Spark to lead the migration of our data pipelines from Talend to Spark.…
Senior developer integrates advanced algorithms into production-ready cloud apps using Python, Spark, and Azure/Databricks, ensuring scalable, secure deployments for sensor data pipelines.
Builds and maintains data pipelines using Python, Spark, and Databricks to move and process large datasets in cloud environments like Azure, AWS, or GCP.
Own and optimize BrokerLink’s Azure Databricks platform, automate deployments with Terraform and Azure DevOps, and integrate with Power BI and downstream analytics tools.
Designs, builds, and optimizes scalable cloud data pipelines and warehouses using SQL, Python, and AWS/Azure/GCP for reliable analytics and reporting.
Builds and maintains scalable data pipelines, warehouses, and APIs to extract, transform, and integrate data across systems, ensuring accuracy and compliance while collaborating with cross-functional teams in an Agile environment.
Build and maintain scalable data pipelines, ETL processes, and data warehouses using cloud tools like AWS and Python, while collaborating with cross-functional teams to deliver data-driven products.
Build and maintain scalable data pipelines, ETL processes, and data warehouses using cloud tools (AWS, Azure, GCP) and SQL/Python to integrate and clean data for analytics.
Design and maintain scalable data architectures, ETL pipelines, and data lakes on AWS for a national library and archives system, using SQL, Python, and Airflow.
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.
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