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Builds and maintains data pipelines using PySpark, Python, SQL, and AWS services with Airflow orchestration.
Build and maintain scalable data pipelines and identity matching systems using BigQuery, Python, Airflow, and GCP for reliable analytics.
Designs and builds scalable data pipelines and shared data products using BigQuery, dbt, and Python to power Wpromote’s marketing analytics platform, improving standardization and reliability across client solutions.
Senior Solutions Engineer partnering with sales teams to design POCs, lead technical evaluations, and deliver value-based demos for SingleStore's real-time database product to enterprise customers.
Senior Solutions Engineer partners with sales and customers to identify data bottlenecks, demonstrate SingleStore’s real-time database solutions, and drive technical evaluations. Focuses on SQL, cloud platforms, and data engineering tools to deliver tailored proofs-of-concept and close deals.
Senior Data Platform Engineer responsible for operating and evolving a modern data platform, industrializing pipelines and ensuring data observability using SQL, dbt, Airflow, Python, Snowflake, and Kubernetes with a DevOps culture.
Data Engineer building and optimizing data pipelines on GCP and Snowflake using dbt, SQL, and Python, with orchestration via Airflow/Cloud Composer. Short-term interim contract (1 month), based in France.
Build IoT data pipelines using Python, Kafka, MQTT, time-series databases (InfluxDB, TimescaleDB), and cloud platforms at a French IT services firm.
Builds scalable data pipelines on GCP for a client, handling ingestion, transformation, and storage with dbt and Snowflake, orchestrated via Airflow. Works in an international team on robust, industrialized data workflows.
Principal Data Engineer designing and evolving American Tower's cloud-native enterprise data platform—building batch/streaming pipelines, enforcing data governance, setting engineering standards, and mentoring teams using SQL, Python, Spark, and major cloud platforms.
The UX Software Engineer will develop and enhance a UI prototype, transitioning it from a Streamlit-based tool into a robust interface. The role requires proficiency in Python, Java, and various front-end technologies, alongside experience with big data processing and workflow orchestration.
This role involves building AI-driven data ingestion pipelines and a unified data model for pharmaceutical CMC processes using Python, SQL, and LLM orchestration frameworks. The engineer will develop GxP-compliant infrastructure to integrate data from various laboratory systems and external partners.
Senior Site Reliability Engineer at Cisco in Bangalore optimizing AWS cloud infrastructure for cost, performance, and reliability while driving FinOps practices and automation.
Build and maintain scalable data pipelines, cloud platforms, and AI/ML Ops solutions for a global financial firm, ensuring data quality, governance, and reliability across business units.
Design and deploy enterprise-scale ML systems and knowledge graphs for Dell, building agentic AI applications, RAG pipelines, and semantic data layers using Neo4j/Stardog and distributed data tech.
Build and own full-stack agentic data platforms using LLMs (Claude Code, RAG, agents) and modern data engineering tools (Spark, Kafka, Airflow, Snowflake, AWS) within JPMorganChase's Asset & Wealth Management division.
The AI Architect designs and implements scalable, secure, and enterprise-ready AI and Agentic AI architectures. They collaborate with cross-functional teams to bridge the gap between experimentation and production using cloud ecosystems, MLOps tools, and modern AI frameworks.
As a Junior Software Engineer at Yapily, you will help build and scale a data platform by developing data pipelines, billing infrastructure, and APIs using the GCP stack. This role is ideal for a developer with a strong computer science foundation looking to specialize in data engineering within the fintech sector.
The Senior Field Specialist acts as a technical advisor and pre-sales expert, helping enterprise customers design and deploy data and AI platforms using Cloudera's technology stack. This role involves leading Proofs of Concept, troubleshooting complex deployments, and bridging the gap between customer requirements and product development.
The Data Engineer will design, build, and maintain scalable data pipelines and workflows in Snowflake to support healthcare and life sciences clients. The role requires strong expertise in Snowflake, Python, and SQL to transform raw data into analytics-ready structures while adhering to DevOps and CI/CD best practices.
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