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Cognichip Inc. is looking for a Data Platform Software Lead to architect and scale intelligent data systems that support our AI and ML pipelines, focusing on code-based text datasets. You will be responsible for building and maintaining scalable data infrastructure, enabling data ingestion, transformation and delivery for effective model outcomes. Required skills include 5+ years of software engineering in data-intensive environments, experience with web crawling, and proficiency in data-centric tech stacks including Python or Scala. Preferred qualifications involve experience with code datasets for AI.

Cognichip Inc. is looking for a Data Platform Software Lead to architect and scale intelligent data systems that support AI and ML pipelines, focused specifically on code-based text datasets. You will design and implement reliable, high-performance data infrastructure, including tools for data ingestion, transformation, and delivery. The ideal candidate should have at least 5 years of software engineering experience in data-intensive environments, with a strong background in building scalable data systems and experience with relevant technologies.

Pulse is looking for a Data Engineer (H/F) to construct, ensure reliability, and maintain data flows in a modern cloud environment, for one of our clients in Lyon (hybrid format). You will be involved deeply in project data teams to develop, optimize, and maintain data flows in an AWS Datalake. Your role includes developing data ingestion, transformation, and exposure flows in the Datalake, working on an AWS cloud stack (S3, Glue, ECS), and using Spark, Scala, and SQL to ensure the performance and quality of processing while collaborating closely with project teams.

Net Talent is looking for a Staff/Lead Data Engineer to lead the technical design and implementation of critical data infrastructure and products. The role involves providing technical leadership and guidance, designing scalable systems, setting data architecture standards, and solving complex challenges related to analytics and data science across the company. Candidates should have 8+ years of experience in data engineering or related fields, with strong expertise in modern data tools, deep understanding of data modeling, and proficiency in SQL and at least one programming language.

eXalt Value is looking for a Data Engineer with at least 4 years of experience in the field. The successful candidate will design and develop data pipelines, integrate and transform data from various sources, and implement advanced data processing algorithms. Proficiency in programming languages like Python or Scala, and knowledge of Big Data technologies such as Hadoop and Spark are essential for this role.

Compass Digital is looking for a Data Engineering Platform Lead to lead a pod of Data Engineers in building and maintaining ETL pipelines and data APIs. The ideal candidate will design and implement scalable infrastructure on AWS and develop CI/CD pipelines using Docker and Kubernetes. Strong communication skills and a background in Computer Science or related fields are essential. Proficiency in Python and familiarity with cloud platforms are required.

Digital Sarthi Software Solutions is looking for a Data Engineer to design, build, and optimize scalable data pipelines to support various use cases such as Research Digitization, Banking, Global Markets, and Data Monetization. The ideal candidate will also develop and operationalize data products that integrate both structured and unstructured sources, including alternative data. Additionally, they will deploy, manage, and performance-tune large-scale Spark workloads on Databricks, ensuring that these systems are reliable, scalable, and cost-efficient.

Aleysia is looking for a Python Developer to develop innovative solutions using optimized, clear, and well-documented code. Your challenge, if you accept it, includes integrating APIs, interacting with relational and non-relational databases, ensuring application maintenance, and proposing continuous improvements. You will be a key player in maintaining code quality by designing robust unit and integration tests. A collaborative team member, you will follow development best practices and participate in code reviews while working in Agile/Scrum methodologies.

Galent is looking for a Sr Java BigData Developer with a strong background in problem solving, OOP, data structures and algorithms. You will have at least 10 years of backend application development experience in Java, Microservices, and Spring/Spring Boot. Moreover, 5 years of experience in developing and optimizing Big Data applications using Java/Scala and Spark on Cloudera/HDP are essential for this role. The candidate should also have experience in developing/designing micro-service architecture and building end-to-end data pipelines on AWS/Azure and/or Databricks.

Bright Cubes is looking for a Data Engineer. In this role, you will build and optimize data pipelines using tools like Spark, Airflow, Databricks, and the cloud-native capabilities of Azure and AWS. Your expertise will help manage and transform complex data flows with (big) data technologies, automation, and performance optimization. If this sounds like your next challenge, apply now!