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Lead a team to design and build scalable data pipelines and platforms using Spark/Scala, Airflow, and cloud tools, while mentoring engineers and ensuring regulatory compliance.
Designs and maintains scalable AWS data pipelines using S3, Glue, Lambda, Redshift, and EMR to integrate and deliver data for analytics and reporting.
Builds and optimizes big-data pipelines using Spark, Azure, and Databricks to deliver analytics and dashboards in Power BI for a global product team.
Build and maintain big-data pipelines (Spark, Hadoop, Elasticsearch) to detect fraud and financial crime for a global bank, using Scala and Java/C#.
Build AI-powered data workflows in Snowflake for a bank: integrate LLMs via Cortex, design RAG pipelines, and ship Streamlit features that help engineers and business users query and analyze financial data.
Build and maintain big-data pipelines using Spark, Hadoop, and Scala to detect fraud and financial crime for a global bank serving 36M customers.
Design and build enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
Build and maintain scalable data pipelines and cloud data platforms for banking clients, using Spark, Scala, and cloud services to deliver clean, governed data for analytics and AI.
Senior Data Engineer builds and maintains a secure cloud data platform using Azure, Databricks, and Synapse, designing pipelines and models to deliver analytics and reporting for a Geneva-based institution.
Build and maintain scalable data pipelines using Spark, Hadoop, Scala, and Elasticsearch to detect financial crime and ensure compliance.
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a dedicated Senior AI Data Engineer to join one of our clients' teams . If you're…
Build and optimize scalable data pipelines, ETL processes, and cloud-based data architectures using Python/Java/Scala, Spark, Kafka, and cloud platforms (AWS/Azure) to support large-scale analytics and client projects.
Designs and builds scalable backend systems and data pipelines using Java/Scala/Python, Spark, Flink, and Kafka for Akamai’s cloud platform.
Build and deploy ML models and data pipelines for a financial-services client’s new AI practice using Python, Spark, Hadoop, and SQL.
Lead a team building scalable data pipelines and platforms for enterprises using Spark, Airflow, and cloud tech to process terabytes of streaming and batch data for analytics and ML.
Build and optimize large-scale data pipelines for automotive and aerospace clients using Spark, Airflow, and cloud platforms to enable real-time analytics and ML-driven insights.
Design and build large-scale data pipelines and systems to process billions of ad requests daily, using Java/Scala/Python, Spark, and BigQuery on GCP/AWS.
Design and build big-data pipelines to process millions of healthcare records using Databricks, Spark, and Azure, ensuring data quality and performance for clinical research.
Build and optimize large-scale data pipelines on Databricks using Python and cloud-native tools, ensuring scalable, secure data processing for enterprise clients.
Build and maintain scalable data pipelines for large enterprises using Spark, Cloudera, and Airflow to process streaming and batch automotive, aerospace, and telecom data.
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