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Top Data Engineer Jobs in Mexico City
As a Data Engineer at Oowlish, you will design and optimize data pipelines and ETL processes, manage data warehouses, and create visual reports using BI tools. You will support international marketing strategies through data analytics and contribute to actionable business insights.
The Data Engineer will analyze data to derive business insights, perform quality assurance, maintain system and data processes, and improve monitoring. This role involves client interaction, technical communication, and leveraging new technologies for customer value enhancement.
The Azure Data Engineer role involves building and managing custom databases and ETL processes using SQL, SSIS, and ADF in Azure while collaborating with business teams to deliver data solutions and facilitate agile development practices.
The Data Engineer is responsible for implementing data ingestion pipelines using Azure services, developing scalable frameworks for data processing, and managing SQL Server databases in the Azure environment. Tasks include data modeling, ensuring data quality, and effective customer communication. The role requires proficiency in cloud solutions and ETL tools, along with the ability to work both independently and in teams.
The Sr. Data Engineer will design and implement data features for hotels worldwide, focusing on cloud-based solutions and data infrastructure, while analyzing existing use cases and developing new data solutions from conception to deployment.
As a Data Engineer, you will design and implement data platforms, work with product owners and analysts, manage data workflows, and optimize ETL processes. You'll leverage large-scale data technologies and cloud services to meet high-performance analytics and reporting needs.
The Data Engineer role focuses on delivering solutions like applications, APIs, and data pipelines to support business growth. Responsibilities include simplifying data, maintaining technical recommendations, and measuring the impact of new features.
The Data Engineer will build and maintain scalable data pipelines and architecture, handling diverse data sets from market sources. Responsibilities include transforming and integrating data into consumable products, developing scalable architecture for large data volumes, and automating processes while adhering to data engineering practices.
The Senior BI/Data Developer will design, build, and manage custom database solutions, assist in delivering critical business intelligence software, and support existing applications. They will communicate technical requirements clearly and follow agile development practices to facilitate data management processes in a collaborative environment.
The Senior Software Engineer will design and implement data pipelines, collaborate with cross-functional teams, review code, maintain applications, mentor junior engineers, and improve architecture based on business needs. They will ensure high-quality production-ready software and support with metrics monitoring and technical requirements identification.
The Senior Software Development Engineer will design and implement ETL pipelines, develop batch and near real-time data products, and collaborate with data analysts, scientists, and stakeholders to enable analytic solutions and data onboarding using data mesh architecture.
As a Senior Software Development Engineer, you will design and implement ETL pipelines, contribute to data product architecture, and collaborate with teams to ensure high-quality data for analytics and machine learning. Your role involves managing both real-time and batch data products and supporting product engineering teams through data mesh principles.
The Data Engineer will develop and maintain data pipelines using AWS technologies and tools such as dbt, Airflow, and Snowflake. Responsibilities include extracting, transforming, and loading data, collaborating with teams to analyze business problems, and supporting CI/CD workflows. The role requires knowledge in cloud architecture, data processing technologies, and scripting languages.
As a Data Integration Engineer, you will design and develop the Google Cloud Platform data ecosystem, collaborate with clients to gather and analyze requirements, troubleshoot issues, and create efficient data pipelines and applications. You will manage and optimize databases and integrate data from diverse sources to facilitate analytics.
The Data Integration Engineer will set up data ingestion pipelines using Azure technologies, develop scalable frameworks for data ingestion and processing, manage SQL Server databases in Azure, and integrate data from multiple systems. Responsibilities also include employing best practices for data manipulation while collaborating and providing technical support to customers.
As a Big Data Engineer with GCP, you will develop IT solutions, ensure compliance with standards, investigate technical issues, and collaborate on data strategies. You will manage stakeholders and lead delivery teams, demonstrating analytical skills and proposing improvements through proof of concepts.
As a Data Engineer at MediaLab, you will build and maintain data platform solutions, optimize data ingestion, support monitoring and troubleshooting of ETL jobs, integrate application data into the data warehouse, and contribute to deployment workflows.
As a Senior Software Engineer at Lucidworks, you will develop and maintain services in Python and Java while collaborating with the Data Science team. You will leverage advanced technologies to enhance search capabilities in a cloud-based SaaS platform, optimize model deployments, and participate in Agile discussions with a global team.
This role involves managing and enhancing data engineering projects for a major insurance client, emphasizing data ingestion, transformation, and analytics. Collaborating with teams to improve data solutions, performing quality testing, and addressing deployment updates are key responsibilities. The position requires a strong analytical mindset alongside technical proficiency in data engineering tools.
Seeking a highly experienced Senior Data Engineer to develop and maintain the data architecture of an AI-powered platform for clinical-stage biotech companies. Remote position with significant overlap with Los Angeles working hours.
As a Staff Data Engineer at Netskope, you will develop software tools to process structured and unstructured data, analyze and organize data, and create data resources for effective data protection. You'll contribute to the development of high-performance data loss prevention solutions in a collaborative environment.
The Senior Data Engineer will design, develop, and maintain scalable data pipelines, ensuring reliable data flow and integrity. They will optimize data architecture, implement data strategies, manage databases, and provide training on performance and usage. Collaboration with cross-functional teams and staying updated on data tools is essential.
As a Staff Engineer DevOps at Netskope, you will focus on architecting, designing, and delivering data loss prevention solutions. Responsibilities include deploying and monitoring cloud services, maintaining deployment configurations, and measuring application health across various cloud environments, ensuring reliability and scalability.
The Senior Data Engineer will design, develop, and maintain software/data platforms, mentor junior engineers, and actively contribute to architectural decisions. This role involves solving business problems through technical solutions and collaborating with cross-functional teams to create high-quality, scalable software.
As a Tech Lead - Data Engineering, you will optimize and enhance the stability of the Usersession dataset, lead the integration of new datasets, ensure system reliability, and provide mentorship to team members while collaborating with cross-functional teams to achieve technical solutions.
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