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Top Data Engineer Jobs in Mexico City
The Azure Data Engineer will build, develop, and manage databases using SQL, SSIS, and ADF in Azure. Responsibilities include designing ETL processes, collaborating with business stakeholders, and ensuring technical solutions meet client needs. They will also maintain applications and support production data loads, operating within an agile methodology.
Responsible for creating and maintaining data ingestion pipelines using Azure services, developing frameworks for data processing, managing Azure SQL Server databases, and ensuring data quality. Involves integration of diverse data sources and best practices for data manipulation.
You will set the technical direction for a streaming data processing engine and implement it hands-on, while practicing engineering best practices. You will work closely with team members to identify priorities and contribute to process improvements. This role requires proficiency in Flink, Java, and messaging queue frameworks, along with deep enthusiasm for AI and data solutions.
As a Sr. Data Engineer at Encora, you will design and implement data features for hotels worldwide, evolving the AWS-based decision support environment. Your role includes developing new data solutions, analyzing existing use cases, and collaborating on data infrastructure improvements.
As a Data Engineer, you will design and implement features in collaboration with cross-functional teams, create large-scale data platforms, analyze data workflows, and ensure optimal performance of data management systems.
The Lead DevOps Data Engineer will design, build, and maintain scalable data pipelines, implement cloud solutions, develop CI/CD pipelines, and provide mentorship. Collaboration with engineers and scientists will be essential to meet data needs and propose architecture solutions.
The Lead Analytics Data Engineer will design, build, and maintain data tools and infrastructure for advanced analytics, ensuring features are developed with quality and best practices. They will collaborate with peers, mentor junior members, and communicate with both technical and non-technical stakeholders.
The Data Engineer role focuses on delivering business solutions such as applications, APIs, and data pipelines. Responsibilities include simplifying data for active points, delivering recommendations, and managing technical debts while adhering to deadlines.
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 build and manage databases/solutions using SQL, SSIS, and ADF, design ETL processes, support existing applications, and communicate technical requirements to non-technical stakeholders. They will work within a team to deliver critical trading and finance data solutions for North America.
As a Data Engineer, you will design, implement, and optimize data pipelines, ETL processes, and data warehouses. You will utilize BI tools for data visualization and generate actionable insights, while supporting marketing strategies with data analytics techniques.
The Senior Software Development Engineer will design and implement high-quality ETL pipelines and develop near real-time and batch data products. This role requires collaboration with various stakeholders for data integration and the ability to provide validated datasets for analytical purposes.
The Senior Software Development Engineer will design and implement ETL pipelines and develop data products while collaborating with analytics and ML teams to provide high-quality property datasets for Zillow's initiatives.
As a Senior Software Engineer, you will design and implement data engineering solutions, lead the development of data products, collaborate with teams, optimize code, mentor junior engineers, and influence architectural improvements while ensuring system reliability and performance.
As a Data Engineer, you will extract, transform, and load data using SQL and AWS technologies. You will develop and maintain data pipelines with tools like dbt, Airflow, and Snowflake, and analyze business problems to provide optimal solutions. The role involves creating CI/CD workflows, collaborating with teams, and evolving technology stacks.
As a Data Integration Engineer for GCP at Lingaro Group, you will design and develop cloud data ecosystems, focusing on data modeling and integration from diverse sources. You will analyze business requirements, interact with clients, and address technical issues while optimizing database performance. Collaboration with cross-functional teams is essential for success.
The Data Integration Engineer is responsible for setting up data ingestion pipelines using Azure tools, developing scalable frameworks, and managing SQL Server databases in the Azure cloud. The role includes data modeling, ensuring data quality and consistency, and collaborating with customers to provide technical insights.
As a Big Data Engineer, you'll ensure code and configuration standards are met, facilitate technical consultations, lead delivery teams, and engineer IT solutions. You'll work on implementations related to Data Lake architecture in GCP and collaborate with support teams to resolve complex issues while managing stakeholder relations to drive data initiatives.
The Senior Data Engineer will collaborate in agile teams to enhance analytic solutions, support deployment and performance, and ensure quality testing. This role focuses on transforming data into valuable insights and involves working with data scientists.
As a Senior Software Engineer at Kong, you'll be responsible for enhancing the user experience of their API toolkit through the development of scalable and responsive UI components, using technologies like Vue and Typescript. You'll collaborate with product and design teams, improve frontend architecture, and contribute to building a world-class analytics experience.
The Data Test Engineer will design and execute comprehensive test scenarios and plans, focusing on Data testing and ensuring data integrity using strong SQL skills. The role includes collaborating with Agile Scrum teams, leading offshore teams, and managing complex test data. Strong analytical skills and experience with Big Data and AWS services are essential.
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.
As a Senior Backend Engineer for the Data Platform team at Postscript, you'll design and build scalable data systems, create integrations for ecommerce platforms, and support internal BI systems while mentoring fellow engineers. This role emphasizes high-quality code and data reliability.
As a Senior Data Engineer/Analyst, you will design and optimize data pipelines, maintain scalable data architectures, implement ETL processes, perform data analysis, build visualizations, and deploy machine learning models while mentoring junior members and collaborating with various stakeholders.
As a Senior Data Engineer, you will design and build scalable data pipelines and ensure reliable data infrastructure while collaborating with data scientists. Your role includes transforming datasets, implementing ETL pipelines, and employing cloud-based solutions to support data architecture projects.
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