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Build and maintain backend services in Elixir/Phoenix and Postgres, design agentic workflows, and integrate HR/payroll APIs for a global employment platform.
Build and maintain a Linux-based, AWS-hosted data platform using Java, Spark EMR, Kafka, Scala and Angular to power a financial firm’s data warehouse and BI tools.
Builds and optimizes large-scale data pipelines and ETL processes using Spark, Kafka, and Hadoop in enterprise finance projects, ensuring reliable data integration and transformation.
Designs and builds secure, scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights.
Build and optimize cloud-native data pipelines on Azure, migrating and transforming data for analytics and ML workloads using Spark, Databricks, and Azure Synapse.
Build and scale Akamai’s big-data cybersecurity platform, writing Java/Scala/Python services and data pipelines with Spark/Flink and Kafka to process internet-scale threat data.
Big Data Engineer builds and maintains AWS-based Scala Spark pipelines for a top-tier banking environment, using SQL Server, Oracle, GitHub, and Terraform.
Build and enhance a multi-dimensional indexing engine for Data Lakehouses using Java, Scala, and Rust, supporting open table formats like Iceberg.
Build and automate data pipelines for financial clients, migrating on-prem systems to cloud and implementing DevSecOps practices using Kafka, Spark, Kubernetes, and CI/CD tools.
Build and maintain cloud-based data pipelines and AI applications using Python, Spark, and Kafka to process large datasets and deliver insights for cybersecurity clients.
Senior JVM engineer builds and designs a distributed financial calculation engine using Scala/Java in a high-performance fintech environment.
Build and maintain scalable Azure Databricks data pipelines and analytics for HR tech, using Spark, SQL and Azure services to automate employee lifecycle data flows.
Build and deploy machine-learning models and data pipelines to extract business insights from large datasets using Python, SQL, and R.
Design and maintain scalable data pipelines and infrastructure for Saudi Aramco’s Downstream Global Optimizer, enabling real-time analytics and machine learning to optimize refining and energy operations.
Build and maintain data quality frameworks and pipelines, enforcing standards across systems and mentoring teams to ensure reliable enterprise data.
Design and maintain data quality frameworks, rules, and automated checks to ensure enterprise data accuracy and reliability across systems.
Designs and builds scalable big data pipelines using Spark, Hadoop, and Kafka to process large datasets for analytics and insights.
Designs and maintains scalable data pipelines and infrastructure for Saudi Aramco’s downstream optimization, enabling real-time analytics and ML models with Python, Spark, and cloud platforms.
Design and build scalable ETL/ELT pipelines and real-time dashboards for industrial digitalization in oil & gas, petrochemicals, utilities, and manufacturing using Hadoop/Cloudera, PySpark, and BI tools.
Design and build scalable data pipelines to process raw data into reliable analytics systems using Python/Java/Scala, SQL/NoSQL, and cloud platforms like GCP or AWS/Azure.
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