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Data Engineer developing and optimizing big data platforms, data warehouses, and BI solutions using FineReport/FineBI at BYD Australia's Mulgrave office.
Designs, tunes, and fixes multi-tiered systems to ensure high performance, stability, and availability for Apple’s global services like App Store, Apple Music, and Apple TV, using Java, Spark/Flink, AWS, Kubernetes, and bare-metal infrastructure.
Designs and maintains secure, scalable data pipelines for federal agencies using cloud tools like AWS Glue, Databricks, and Spark, while ensuring data quality and compliance.
Design and implement ETL/ELT workflows, write complex SQL queries, and manage data services on Linux and cloud platforms using Python, Shell, and Hadoop ecosystem tools.
Data Engineer at RBC designing and optimizing a cloud data Lakehouse, building ELT pipelines with Python, SQL, Snowflake, dbt, Airflow, and Spark on AWS to support BI, ML, and AI initiatives.
Junior ETL Data Engineer on a 10-month contract designing ETL/ELT workflows, maintaining Python/Shell automation scripts, and optimizing SQL in a big data warehouse environment using Hadoop ecosystem tools on Linux and cloud platforms.
Data Engineer building and maintaining data pipelines, ETL/ELT processes, data lakes, and warehouses using Python/Java/Scala, SQL, Spark, and cloud platforms (AWS/Azure/GCP) to support analytics and reporting for a diversified Malaysian conglomerate.
Lead AI & Data Analytics Engineer building AI-enabled analytics products for federal acquisition modernization using Palantir Foundry, Microsoft Power Platform, Databricks, SQL, and Python.
Senior Software Engineer on LinkedIn's Development Infrastructure team, building and scaling tools, frameworks, and environments that improve developer experience for 6000+ engineers. Core tech includes OOP languages (Python, Java, etc.), distributed systems, containerization, build tools, and big data systems.
We build internal products and automation for our own teams to improve day-to-day business processes. Most tasks revolve around processing large datasets (millions of rows) and turning them into reliable, reusable…
HCLTech is looking for a Big Data Engineer to design and optimize large-scale data pipelines using Python, Spark, Hive, and Airflow. The role involves building ETL/ELT workflows on platforms like Databricks and Snowflake while collaborating with product teams.
Develops and maintains Java-based software in a Kubernetes environment for a government customer, focusing on system resiliency and integration with COTS/FOSS solutions.
Coordinates and maintains Linux-based applications and services for a critical financial data infrastructure, ensuring 24/7 availability and security for a major Mexican financial institution.
Наша команда занимается независимой оценкой и контролем за моделями и AI-решениям Банка — от классических моделей и NLP до современных LLM-решений и агентов. Мы проверяем корректность, челленджим подходы разработчиков,…
Middle Data Scientist at Sberbank's Wealth Management building classical ML models (recommendations, uplift, NLP) for B2C/B2B investment and insurance products using Python, SQL, PySpark, and CatBoost.
Оператор Газпром ИД (ГИД) - динамично развивающаяся высокотехнологичная компания в составе Группы компаний Газпром. Мы создаем доступные ИТ-решения, формируем цифровое будущее и пеняем подходы к трансформации,…
Location: Charlotte, NC (Full time onsite) Job Description: Must Have Technical/Functional Skills Primary skills: Hadoop, Hive, Python, PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture,…
The Software Engineer will develop and maintain data governance platforms and services, working with Java, Python, and cloud infrastructure like AWS. The role involves building metadata management tools and microservices within an agile environment to support the organization's data engineering teams.
Data Scientist validating ML and LLM models across Sberbank's business domains—challenging developer approaches, building alternative solutions, and contributing to AIVA, an LLM-based validation agent. Core stack: Python, pandas, PyTorch.
Build and maintain ML infrastructure including data pipelines, ETL workflows, and model deployment using Python, Docker, Kubernetes, GCP/Azure, and orchestration tools like Airflow or Kubeflow.
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