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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.
Software engineer building data platform infrastructure, APIs, and governance tools for Singapore's Whole-of-Government data programme, using cloud services (AWS/GCP), containers (Docker/Kubernetes), and data processing frameworks (Spark, Kafka).
The Data Engineer will design and optimize big data solutions by building scalable pipelines using Hadoop, Spark, Scala, and Elasticsearch. The role involves working with Quantexa and OpenShift to deliver reliable, governance-driven data platforms.
This role involves designing and implementing banking data pipelines, processing data from various sources, and writing SQL for reporting. The position requires expertise in Python, Spark, Teradata, and Hadoop within a data engineering context.
The Data Engineer will design and optimize big data processing pipelines using Apache Spark, Scala, and Elasticsearch within the Quantexa software ecosystem. The role involves collaborating with cross-functional teams to implement scalable data solutions on OpenShift and supporting compliance-focused financial projects.
Senior Software Engineer building and maintaining scalable enterprise database systems (relational and NoSQL) at Solera, a global vehicle-lifecycle data services company. Core tech: Microsoft SQL Server, SSIS, SSRS, SSAS.
Data Engineers will focus on the design and build out of data models, codification of business rules, mapping of data sources to the data models (structured and unstructured), engineering of scalable ETL pipelines,…
Senior Data Engineer builds and optimizes enterprise data warehouses, ETL/ELT pipelines, and SQL queries using Hadoop ecosystem, Spark, Kafka, and PostgreSQL/Greenplum.
Senior Data Analyst builds and maintains ETL pipelines, analyzes large datasets, and creates visualizations using Python, SQL, and tools like Tableau or Spark in Moscow.
Data Engineer designing, building, and maintaining scalable data pipelines and infrastructure using Databricks, SQL, and Python at Mercer's Oliver Wyman hub in Lisbon.
Data Engineer & Analyst on RBC's Retail Credit technology team, building ETL pipelines, data models, and climate risk analytics using Python, PySpark, and SQL to support climate risk disclosures and regulatory governance.
Design, build, and operate large-scale batch and real-time data pipelines on Google Cloud Platform, working with BigQuery, Dataflow, and other GCP managed services to turn raw data into business insights.
Data Engineer building scalable data pipelines, ETL/ELT processes, and integrating heterogeneous data sources in an enterprise environment using Python/Scala, SQL, Spark, and cloud platforms (AWS/Azure/GCP).
Big Data Engineer designing and developing Spark/Scala data pipelines in a regulated environment, collaborating with Business Analysts and Data Modellers on large-scale batch processes.
Feladatok Shape and implement the company’s data science strategy and drive innovation, with a primary focus on Generative AI and Agentic workflows Identify opportunities to leverage data for business value and impact…
Senior Data Engineer at a consultancy designing and maintaining data pipelines, ETL systems, and data models using SQL, Python, cloud infrastructure (Azure/AWS), and big data technologies like Spark and Kafka.
Senior Data Engineer at Westpac Bank designing scalable data pipelines, mentoring a squad, and ensuring reliable service delivery using Hadoop, Spark, Airflow, and Terraform in an Agile/DevOps environment.
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