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Data Engineer building and optimizing data pipelines, ETL processes, and storage solutions on AWS, Databricks, and Informatica IDMC for a Singapore-based company.
Designs and builds scalable data infrastructure for AI-driven analytics in fintech/private markets, focusing on pipelines, vector databases, and cloud-based data processing.
The Senior Data Engineer will develop and maintain data ingestion pipelines, ensure data platform security and performance, and manage monitoring and orchestration. The role involves collaborating with stakeholders to support data governance and resolve engineering challenges.
👋 About Us sunday is building the fastest, simplest way to pay in restaurants. With a quick scan of a QR code, diners can pay, tip, and leave in about 10 seconds. We believe great products should feel obvious, not…
Lead a team to design and implement enterprise-scale data pipelines and integrations for AI and automation projects, assessing feasibility and recommending cloud platforms like Azure or AWS.
Lead a team to design and implement scalable data pipelines and integrations for enterprise clients, focusing on ETL/ELT, cloud platforms, and AI/ML readiness.
Designs and maintains cloud-based data pipelines (Bronze/Silver/Gold layers) using ELT, SQL, and BigQuery to ingest, transform, and optimize data for a global marketplace platform. Focuses on orchestration (Airflow), data quality, and integrations with downstream systems while collaborating on schema evolution and CI/CD deployments.
Senior Data Engineer building high-volume batch and streaming data pipelines on AWS and GCP for a marketplace/travel client, using Python, Spark, Airflow, and BigQuery.
Designs and maintains cloud-based data pipelines (Bronze/Silver/Gold) using SQL/ELT patterns in BigQuery, orchestrating workflows with Airflow while ensuring data quality, governance, and integration with downstream systems for a global marketplace platform.
Senior Data Engineer designs and develops high-volume batch/streaming data ingestion pipelines on AWS/GCP, leads teams, and collaborates with cross-functional groups; core technologies include Python/Java/Scala, SQL/NoSQL databases, Hadoop, Spark, and Airflow.
Data Analyst builds and maintains ETL pipelines and cleans financial datasets to support ML models in banking and capital markets.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a .NET Integration Engineer — FHIR Hub Ingestion based in United States. This is a…
Builds and owns the data infrastructure underpinning Catapult’s AI-driven sports performance platform, including time-series databases, feature stores, and knowledge graphs for real-time athlete insights.
The Senior/Lead Analytics Engineer will build data models, metrics, and self-serve analytics tools to support product and business decisions at Insight Timer. The role involves analyzing A/B tests, mentoring team members, and utilizing technologies like SQL, BigQuery, Looker, and dbt to maintain clean, scalable data systems.
Senior Market Data Analyst at Man Group in London manages investment data operations, ensuring accuracy and compliance for Bloomberg, LSEG, and other market data feeds while automating workflows.
A junior clinical data engineer building and maintaining databases, designing data solutions for EDC/RTSM/eCOA/ePRO, implementing data quality controls, and delivering dashboards using SQL, Python, and cloud-based data platforms.
Builds and maintains clinical databases for clinical trials, integrating systems like EDC, RTSM, and eCOA/ePRO. Uses SQL/Python to transform data, validate logic, and create dashboards while ensuring GCP compliance and audit readiness.
Jr. Clinical Data Engineer building and maintaining clinical databases and systems (EDC, RTSM, eCOA/ePRO), implementing data logic, developing reporting solutions, and validating system functionality for clinical trials using Python, SQL, SAS, or R.
Own the full data lifecycle in Azure: build Python-based data pipelines, FastAPI services, and AI integrations, then deliver dashboards and containerized apps on AKS.
The Senior Data Platform Engineer will design and evolve scalable logging infrastructure and data pipelines to support security observability at Clio. The role involves architecting ELK/OpenSearch clusters, managing petabyte-scale storage, and implementing Infrastructure as Code within a hybrid cloud environment.
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