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Build and scale Cisco’s big-data platform using Spark, Kafka, Flink, Iceberg, and Trino to power real-time analytics and data pipelines for Webex.
Principal Data Architect defines and leads enterprise data architecture for cloud-native platforms, designing scalable, secure data solutions to support digital transformation and data-driven decisions in wealth management.
Senior Data Engineer builds and operates enterprise-scale data pipelines on AWS Lakehouse, implementing ELT/ETL, streaming ingestion, and DataOps practices to deliver trusted, analytics-ready datasets for healthcare operations.
Lead the product strategy and roadmap for Cloudera’s Hybrid Cloud initiative, enabling enterprise-grade VM-based data deployments across AWS, Azure, and GCP while managing a team of product managers.
Where Ambition Meets Innovation Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and…
Designs and maintains scalable data architectures for a bank’s enterprise platform, building Data Lakes and optimizing Cloudera/Hadoop ecosystems with Apache Iceberg.
Build and maintain scalable data pipelines and curated datasets for a modern Lakehouse and AI platform, using Python, SQL, Spark, and Snowflake to support analytics and AI use cases at a global investment bank.
Build and maintain large-scale data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Kafka to support analytics and AI use cases at a global investment bank.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just…
Lead the development and maintenance of scalable, reliable data pipelines and data processing frameworks supporting a variety of business and product use cases. Ensure data quality, integrity, and readiness by…
Who We Are As Singapore's longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How By taking the time to truly understand people. From…
Build and scale production-ready ML infrastructure for ASR and LLM systems, collaborating with research and MLOps teams to deploy robust AI workflows.
Design and maintain scalable data architectures, ETL pipelines, and data lakes for a national library system using AWS, SQL, Python, and Airflow.
Designs and provisions AWS-based data lakehouse infrastructure using Iceberg, Glue, Athena, and Lake Formation, with Terraform for IaC across CI/CD environments.
Design and build scalable AWS data pipelines that ingest from DynamoDB, Aurora PostgreSQL, and Neptune, then curate them into an Apache Iceberg-based data lake and orchestrate with Airflow.
Designs and builds scalable AWS data pipelines, data lakes on S3 with Apache Iceberg, and Airflow workflows for CDC and batch ingestion from DynamoDB, Aurora PostgreSQL, and Neptune.
Build and own Duetto’s Python/PySpark data lakehouse that powers real-time hotel pricing decisions, migrating from batch to streaming pipelines on AWS while driving data quality and AI-assisted tooling.
Designs and builds data pipelines, warehouses, and analytics systems using Python, Spark, and cloud platforms like Databricks or Snowflake.
At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team brings this belief to life by…
Build and lead Vandebron’s open data lakehouse, shaping architecture, governance, and MLOps to power green-energy analytics and AI-driven customer intelligence.
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