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Devoteam is seeking a Senior Data Engineer to design and industrialize data pipelines on AWS for client projects. The role involves collaborating with business stakeholders, managing data platforms, and contributing to technical pre-sales activities.
Build and maintain data pipelines that ingest high-bandwidth sensor logs from autonomous trucks, curate datasets for ML training, and provide visualization tooling for autonomy engineers.
Designs and deploys secure, scalable data pipelines and warehouses for defense/intelligence clients, using Spark, Kafka, and cloud platforms in classified environments.
Senior Analyst builds and delivers healthcare claims analytics, reporting, and insights for employers and insurers using SQL, Tableau, and cloud data warehouses.
Data Engineer at an AI-enabled software consultancy building, deploying, and monitoring performant data pipelines for Fortune 1000 clients using SQL, MPP platforms (Snowflake, Databricks, etc.), cloud services, and transformation tools.
Senior data scientist partners with product teams to define metrics, run experiments, and analyze user behavior to shape product road maps and validate feature impact using SQL, Python, and Snowflake.
The Data Platform Engineer will design and maintain scalable data pipelines and infrastructure to support analytics and AI-driven products. The role involves collaborating with data scientists to build robust ETL/ELT processes using SQL, Python, and cloud data warehouse technologies.
Senior Data Engineer in Kuala Lumpur designing and maintaining data pipelines, data models, and BI dashboards using AWS serverless services (Glue, Redshift, Aurora, Lambda, RDS), Python/PySpark/SQL, and SAP/Power BI.
A Senior Data Engineer designing, building, and optimizing data pipelines, models, and dashboards using AWS services (Redshift, Glue, S3, Lambda, RDS, Aurora) and producing MIS reports/BI dashboards with SAP and Power BI.
The Data Engineer will build and maintain ETL/ELT pipelines, manage cloud data platforms, and ensure data quality using Python, SQL, and various cloud data warehouse technologies. The role involves collaborating with cross-functional teams to support both batch and real-time data processing.
The Technical Architect will design and implement end-to-end data and AI solutions using Salesforce Data 360 and Agentforce. This role involves architecting scalable data models, RAG-based generative AI strategies, and integration frameworks to drive intelligent customer experiences.
Data Engineer Intern supporting client data transformation and marketing department projects using Big Data technologies like Hadoop, Spark, and Kafka in a consulting/agency setting.
Lead a team of data engineers to design and deliver cloud-native data platforms for international clients, using Python, Spark, Airflow, and major cloud providers (GCP, AWS, Azure).
Artefact is seeking a Senior Data Engineer to design, build, and scale data-driven solutions and machine learning infrastructure. You will work in cross-functional teams using technologies like Python, Spark, Airflow, and cloud platforms (GCP/AWS) to deliver impactful data projects for global clients.
Hybrid Data Engineer in Córdoba designing data pipelines, migrating to event-driven architectures, and building AI agents for data enrichment using AWS (Glue, Redshift, RDS, Kinesis/Kafka), Python, SQL, and Spark.
The Data Engineer will design, optimize, and maintain database models and processing systems using Amazon Redshift. The role involves collaborating with data scientists to support data architecture and integrating new tools.
The Data Engineer will build and maintain data pipelines for healthcare analytics, transitioning batch processes to event-driven architectures using AWS services. The role involves developing AI agents and RAG pipelines to process FHIR data and integrate with various AWS storage solutions.
The AWS Solutions Architect will design, implement, and guide cloud-based solutions for clients, acting as a bridge between business objectives and technical delivery. This hands-on role involves working with AWS services, data engineering stacks, and software architecture to build scalable and efficient cloud systems.
Newton Research is seeking a Data Scientist to develop production-level AI models and algorithms for their media lifecycle platform. The role involves collaborating with engineering to integrate these models into software, leveraging LLMs and generative AI to provide actionable business insights.
Lead a team to design KPIs and semantic layers, tune SQL queries across RDS/Oracle/Redshift/Athena, and build Python-based analytics pipelines for a Fortune 500 automation client.
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