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It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal is a strategic AI partner to Fortune 500…
Job Location BUCHAREST OFFICE Job Description Would you like to harness the power of data through breakthrough analytics, business consulting and implementing new capabilities to drive business results? Are you able to…
Comcast Advertising is driving the TV advertising industry forward, from delivering ads to linear and digital audiences to pioneering the tech that makes it possible. We help brands connect with their audiences on…
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day…
Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship. Provide independent data…
Our story At Alight, we believe a company’s success starts with its people. At our core, we Champion People, help our colleagues Grow with Purpose and true to our name we encourage colleagues to “Be Alight.” Our…
Lead data platform design and development on AWS/Databricks (Spark, Airflow) for petabyte-scale vehicle validation time-series data, while mentoring a data engineering team.
As a Data Engineer at Davidson, you will design, develop, and maintain scalable ETL/ELT data pipelines and data warehouses on Google Cloud Platform. You will work with technologies like BigQuery, Python, SQL, and Airflow to support data-driven projects for various clients.
The Senior Data Engineer will design and deliver scalable data solutions while mentoring team members and maintaining robust, compliant data architectures. The role requires expertise in the Hadoop/Spark stack, Airflow orchestration, and secure SDLC practices within an Agile environment.
Westpac New Zealand is hiring a Senior Data Engineer to lead data delivery, mentor team members, and build scalable pipelines. The role focuses on banking products using the Hadoop stack, Airflow, and infrastructure-as-code tools.
The Data Engineer will build and maintain scalable data infrastructure for quantitative trading, focusing on processing tick-level market data and ensuring high-quality data pipelines. The role involves working with Python, SQL, NoSQL, and financial data APIs to support research and trading workflows.
The Data Engineer will develop and maintain scalable data pipelines and data warehouse solutions to support business analytics and data quality. The role involves working with technologies like Python, SQL, Kafka, Spark, and various cloud-based data warehouse platforms.
Data Engineer building and optimizing ETL pipelines, data models, and BI workflows using SQL, Power BI, and SSAS for a large technology and telecoms organization in Hong Kong.
Data Engineer responsible for designing, maintaining, and improving data lakes, pipelines, batch and real-time processing systems, and metadata infrastructure using Python, AWS services, and big data technologies.
Senior Data Engineering Architect designing and overseeing data architecture, ETL pipelines, and big data frameworks using Python, PySpark, SQL, and cloud platforms (AWS/GCP/Azure) in Manila.
This role involves managing Hadoop infrastructure and building scalable data pipelines to support data scientists. The engineer will work with technologies like Spark, Kafka, and Hive to process batch and near-real-time data streams.
The Cloud Data Engineer will design and manage scalable cloud-native data pipelines and platforms to support Big Data, Machine Learning, and Business Intelligence initiatives. The role involves working with various cloud technologies to process structured and unstructured data while providing advisory services to clients.
The Senior Big Data Engineer will build and maintain scalable data pipelines using PySpark, Spark, SQL, and cloud-based big data tools. This role requires working in an agile environment and collaborating with data science teams, with a mandate for 3 days of onsite work per week.
This is a 6-month contract role for a Full Stack Java Developer to build and maintain scalable financial applications in Dublin. The role involves full-stack development, REST API creation, and collaboration within an Agile team.
Principal Data Engineer architecting and deploying scalable big data systems, ETL/ELT pipelines, and AI infrastructure foundations using distributed computing frameworks (Spark, Flink), streaming platforms (Kafka), cloud data warehouses, and data lake architectures.
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