Data Science • Business Intelligence • Data Warehousing • Machine Learning • Artificial Intelligence
51 - 200
Yesterday
Data Science • Business Intelligence • Data Warehousing • Machine Learning • Artificial Intelligence
51 - 200
• Lead the design and development of scalable and efficient data processing architectures, infrastructure, and platform solutions for streaming and batch processing using Big Data technologies like Apache Spark, Hadoop, Databricks, Snowflake. • Design streaming pipelines using Apache Spark and Kafka. • Design and implement data management and data governance processes and best practices. • Contribute to the development of CI/CD and MLOps processes. • Develop applications to aggregate, process, and analyze data from diverse sources. • Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building. • Develop and organize data transformations using DBT and Apache Airflow. • Translate business requirements into technical solutions and ensure optimal performance and quality.
• 6+ years of proven commercial experience in implementing, developing, or maintaining Big Data systems. • Strong programming skills in Python: writing a clean code, OOP design. • Experience in designing and implementing data governance and data management processes. • Familiarity with Big Data technologies like Spark, Cloudera, Kafka, Airflow, NiFi, Docker, Kubernetes, Iceberg, Trino or Hudi. • Proven expertise in implementing and deploying solutions in cloud environments (with a preference for Azure and AWS). • Experience with Databricks and/or Snowflake is an asset. • Excellent understanding of dimensional data and data modeling techniques. • Excellent communication skills and consulting experience with direct interaction with clients. • Ability to work independently and take ownership of project deliverables. • Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.
• Work in a supportive team of passionate enthusiasts of AI & Big Data. • Engage with top-tier global enterprises and cutting-edge startups on international projects. • Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces. • Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences. • Choose from various employment options: B2B, employment contracts, or contracts of mandate. • Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate. • Participate in team-building events and utilize the integration budget. • Celebrate work anniversaries, birthdays, and milestones. • Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching. • Get full work equipment for optimal productivity, including a laptop and other necessary devices. • With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups. • Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Apply NowYesterday
2 - 10
Senior Data Architect designing scalable data architectures for insurance SaaS.
October 24
10,000+
Data Engineer designing and maintaining scalable data pipelines at Infosys Consulting.
October 21
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Architect and implement advanced analytics capabilities at GOGOmedia.