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This Senior Data Engineer role involves designing strategic data architectures and pipelines for a global insurance company using Snowflake, AWS, and Power BI. The position requires translating business needs into technical solutions and offers a path toward data architecture leadership.
The Senior Data Engineer will design, build, and maintain robust data pipelines using Python, Snowflake, and Azure Synapse Analytics. The role involves collaborating with cross-functional teams to ensure scalable, secure, and high-quality data integration and transformation across enterprise platforms.
The Senior Data Engineer will design and maintain scalable data infrastructure, pipelines, and models to support analytics and AI initiatives. This role operates in a remote environment focused on Latin America and requires expertise in cloud platforms like AWS, GCP, or Azure.
Build and evolve an internal Data+ platform at Nubiral, designing reusable data capabilities, ETL pipelines, and self-service tooling on AWS while incorporating generative AI, LLMs, and RAG to automate data engineering tasks.
The Data Governance & Quality Engineer will implement and maintain data governance platforms, manage data quality rules, and ensure end-to-end data lineage using tools like Informatica CDGC, AXON, and Databricks Unity Catalog. The role involves collaborating with stakeholders to define data standards and policies to support business growth.
This student role involves supporting the CDCC Testing & Problem Resolution Management team by building data pipelines and reporting solutions. The intern will use Python, Apache Spark, Databricks, and Power BI to analyze development and quality data for Mercedes-Benz vehicle controllers.
The Data Governance & Quality Engineer will lead the implementation and maintenance of data governance, including quality rules and catalog management within Databricks Lakehouse. The role involves collaborating with business teams and documenting data policies.
The Data Platform & AI Engineer will lead data engineering initiatives, focusing on building pipelines, automation, and cloud-based platforms using AWS. The role involves developing reusable solutions and integrating generative AI and modern data technologies.
Data Engineer on the Azure cloud team at NTT Data Argentina, designing data ingestion and processing solutions and collaborating with business areas to deliver results.
Data Engineer focused on designing and evolving the Denodo semantic layer, optimizing queries, integrating data sources, and ensuring data quality, security, and traceability for governed analytical and operational data products.
Working student in Data Engineering & BI supporting data preparation from quality and development systems, building Databricks pipelines, processing data with Python and Spark, and creating KPI dashboards with Power BI at Mercedes-Benz.
Data Privacy & Compliance Engineer leading sensitive data discovery/classification, maintaining data maps and processing records, and automating privacy processes while collaborating with Security, Compliance, and Tech teams at NTT DATA in Buenos Aires.
AWS Data Engineer designing and maintaining large-scale data lakes and warehouses, building streaming and batch pipelines with Python/Scala, SQL, and Spark/PySpark while collaborating with DevOps on CI/CD.
Data Engineer III designing and optimizing scalable data platforms on Microsoft Azure, building pipelines with SQL Server, PostgreSQL, and Spark while owning CI/CD and documentation.
Data Engineer focused on Denodo, designing and evolving semantic layers, virtualizing enterprise data sources, optimizing query performance, and ensuring data governance within an AWS-based data ecosystem.
Design, develop, and optimize scalable Azure data platforms and pipelines (Data Lake Gen2, Blob Storage, Spark, SQL) supporting analytics and BI across the organization.
AWS Data Engineer designing and maintaining large-scale data architectures (Data Lakes, Data Warehouses, Lakehouses) on native AWS services, building automated ETL/ELT pipelines with Python/Scala/SQL, Spark, and AWS data tools like Glue, Redshift, and S3.
Data Engineer designing and building ETL/ELT processes on Azure using SQL and Python for a global IT services firm.
Databricks Engineer on a 6-month remote contract building a greenfield data platform for a construction/housebuilding client, using Databricks and major cloud platforms.
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.
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