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Builds and maintains a finance data platform using Databricks, Airflow, and Spark to ingest, process, and analyze financial datasets (trades, ledgers, reference data) for reporting and analytics.
Senior Data Engineer at RBC’s Insurance Data Services builds and maintains data pipelines, integrates AI tools for data analysis, and supports high-availability platforms. Core focus: Spark, Hive, Python, SQL, and ETL in a fintech/insurance context.
Builds and maintains scalable data pipelines and platforms using Python, Apache Spark, AWS, and Snowflake to process large datasets and enable business analytics for a global QSR brand.
We are seeking a highly motivated and experienced DevOps Engineer to join our fast-paced development team. The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, Configuration…
Designs, develops, and maintains data architecture and pipelines to transform raw data into processed data, ensuring scalability and reliability for business needs. Core technologies include Big Data tools (Spark, Airflow), SQL/NoSQL databases, and programming languages like Java/Python.
Designs, develops, and maintains data architecture and pipelines to transform raw data into processed formats, ensuring scalability, reliability, and performance for business operations. Core technologies include ETL/ELT, Big Data tools (Spark, Airflow), SQL/NoSQL databases, and programming languages like Java/Python.
Design and lead Azure-based data governance solutions using Microsoft Purview or similar platforms, guiding teams to deliver secure, scalable systems while mentoring engineers and shaping cloud patterns.
Job Title: Counter Associate Department: Bakery & Cafe Reports To: General & Operations Manager & Assistant General Manager Job Overview: The Counter Person at Hive Collective is responsible for providing…
Builds and maintains data pipelines using Databricks, focusing on ETL/ELT processes, data quality, and cloud-based data processing with Delta Lake, PySpark, and Unity Catalog.
Build and maintain geospatial applications for a federal climate and energy program, ensuring data quality and security in a hybrid Canberra office.
Designs and builds scalable big-data pipelines using Hadoop, Spark, and Python to process and warehouse large datasets efficiently.
Hospitality management job in Vienna. Lead the team, run the operation, and make sure our guests get the ultimate Zoku experience. The floor is yours! Are you someone who loves to connect with people and gets a kick…
Builds and optimizes large-scale data pipelines and processing systems using Apache Spark, Hadoop, and cloud platforms to enable data-driven insights and analytics for the company’s operations.
Разработка и внедрение LLM-агентов для преобразования истории операций в интерактивную, натурально-языковую аналитику с автоматическими тегами и персонализированными инсайтами. Используются GigaChat, Finetuning, RAG-системы и классическое ML для анализа транзакций.
Administers Cloudera Data Platform (CDP) in on-prem/cloud/hybrid environments, ensuring data availability, security, and performance by managing distributed systems like HDFS, YARN, Spark, Kafka, and NiFi.
Designs, builds, and optimizes large-scale data pipelines using Spark, Databricks, and Hive to ensure high performance and scalability.
Build and optimize large-scale Big Data pipelines using Apache Spark (Scala/Python), Azure Databricks, and SQL to process and model data for enterprise clients.
ABOUT US Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and…
Principal Engineer defines the technical vision for Acceldata’s Open Data Platform, leading architecture and open-source contributions for scalable, distributed data systems powering enterprise analytics and AI.
Staff Engineer architecting and leading development of the Acceldata Open Data Platform, a petabyte-scale distributed data infrastructure system. Core tech: Java/Scala, big data stack (Hadoop, Spark, Kafka, etc.), Kubernetes, and multi-cloud environments.
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