Senior Data Engineer, Product Data Systems
Bforeai
Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
Descripción de la vacante
Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is seeking a Data Engineer to design and deploy automated data transformation pipelines and support data architecture design for global business services.
The role emphasizes data ingestion, transformation, and enabling data scientists with reliable data access, working with cloud and on-prem technologies. Relocation may be considered.
Formación
- BS in Computer Science, MIS, Computer Engineer or related field or equivalent experience.
- +5 years in Data Engineer role.
- Experience with data ingestion, preparation and validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing; core data architecture; information security technologies and software engineering using technologies such as Azure Data Factory (ETL), Databricks, DevOps, CI/CD Pipeline Deployment, Python, Java, Ansible, Azure SQL, Azure Synapse, Git, ADO, Azure Data Lake, Azure Analysis Services, Logic Apps, Microsoft Data Flows, Kimball Data Warehousing Methodology
- Analytical thinking, Consulting, Critical Thinking
Responsabilidades
- Understand business use of data and stakeholder requirements to support work processes and strategic business objectives.
- Leverage data, software engineering, and data science techniques to create business value through data accessibility. Includes data ingestion, data preparation and analytics processing.
- Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns
- Responsible for normalizing and ingesting data from multiple sources.
- Enable data scientists, making data available for advanced analytics models, and contributing to models.
- Work with ML Engineer to scale and deploy solution including model, documentation, training, integration
- Contributing to the inner source development of foundational tools, and/or the deployment of technical services.
Conocimientos
Educación
Herramientas
Descripción del empleo
Buenos Aires, Buenos Aires, Argentina
Full time
R
Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.
Job Description
Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.
- Understand business use of data and stakeholder requirements to support work processes and strategic business objectives
- Leverage data, software engineering, and data science techniques to create business value through data accessibility. Includes data ingestion, data preparation and analytics processing.
- Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns
- Responsible for normalizing and ingesting data from multiple sources.
- Enable data scientists, making data available for advanced analytics models, and contributing to models.
- Work with ML Engineer to scale and deploy solution including model, documentation, training, integration
- Contributing to the inner source development of foundational tools, and/or the deployment of technical services.
- BS in Computer Science, Management Information Systems, Computer Engineer or related fields or equivalent experience.
- +5 years in Data Engineer Role
- Knowledge and/or experience with: data acquisition, preparation and validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing, core data architecture; information security technologies and software engineering using technologies such as: Azure Data Factory (ETL), Databricks, DevOps, CI/CD Pipeline Deployment, Python, Java, Ansible, Azure SQL, Azure Synapse, GIT, ADO, Azure Data Lake, Azure Analysis Services, Logic Apps, Microsoft Data Flows, Kimball Data Warehousing Methodology
- Analytical thinking, Consulting, Critical Thinking
Relocation may be considered.
Expatriate assignments will not be considered
Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position
Chevron participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at .
Chevron is an Equal Opportunity / Affitiative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
We are looking for a Data Architect specialized in the Adobe Experience Platform to unify customer data across the enterprise. This person architects RTCDP and AJO solutions, designs XDM schemas, and configures identity resolution frameworks that power unified customer profiles. Partnering with marketing and analytics teams on data ingestion and activation is central here.
- Design and implement robust data architectures within the Adobe Experience Platform (AEP), focusing heavily on RTCDP and AJO.
- Architect and maintain the Experience Data Model (XDM) schemas, ensuring standardized data taxonomies across the organization.
- Configure data ingestion pipelines (batch and streaming) from various enterprise sources into AEP.
- Define and configure identity resolution frameworks and merge policies to build comprehensive, unified customer profiles.
- Partner with CRM and Marketing teams to build and orchestrate complex, cross-channel customer journeys in Adobe Journey Optimizer (AJO).
- Create and manage advanced audience segments within RTCDP for activation across various marketing destinations.
- Troubleshoot and optimize data flows, ensuring high data quality, governance, and compliance with privacy regulations.
- Provide technical leadership and mentorship to junior engineers and cross-functional teams regarding AEP best practices.
- 5+ years of experience in Data Architecture, MarTech engineering, or Data Engineering.
- Proven hands-on expertise with the Adobe Experience Platform (AEP), specifically RTCDP and Adobe Journey Optimizer (AJO).
- Deep understanding of the Experience Data Model (XDM) and JSON-based schema design.
- Strong background in data ingestion (REST APIs, cloud storage connections, streaming endpoints) and data integration strategies.
- Experience with identity management, profile stitching, and building unified customer profiles.
- Proficiency in querying languages (SQL) and an understanding of marketing automation workflows.
- Strong communication skills with the ability to translate marketing objectives into technical data architectures.
- Experience with other Adobe ecosystem tools (Adobe Target, Adobe Analytics, Customer Journey Analytics).
- Previous experience migrating legacy DMP or marketing automation platforms into AEP.
- Adobe certifications in RTCDP or AJO.
- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
We are looking for a Data Architect specialized in the Adobe Experience Platform to unify customer data across the enterprise. This person architects RTCDP and AJO solutions, designs XDM schemas, and configures identity resolution frameworks that power unified customer profiles. Partnering with marketing and analytics teams on data ingestion and activation is central here.
- Design and implement robust data architectures within the Adobe Experience Platform (AEP), focusing heavily on RTCDP and AJO.
- Architect and maintain the Experience Data Model (XDM) schemas, ensuring standardized data taxonomies across the organization.
- Configure data ingestion pipelines (batch and streaming) from various enterprise sources into AEP.
- Define and configure identity resolution frameworks and merge policies to build comprehensive, unified customer profiles.
- Partner with CRM and Marketing teams to build and orchestrate complex, cross-channel customer journeys in Adobe Journey Optimizer (AJO).
- Create and manage advanced audience segments within RTCDP for activation across various marketing destinations.
- Troubleshoot and optimize data flows, ensuring high data quality, governance, and compliance with privacy regulations.
- Provide technical leadership and mentorship to junior engineers and cross-functional teams regarding AEP best practices.
- 5+ years of experience in Data Architecture, MarTech engineering, or Data Engineering.
- Proven hands-on expertise with the Adobe Experience Platform (AEP), specifically RTCDP and Adobe Journey Optimizer (AJO).
- Deep understanding of the Experience Data Model (XDM) and JSON-based schema design.
- Strong background in data ingestion (REST APIs, cloud storage connections, streaming endpoints) and data integration strategies.
- Experience with identity management, profile stitching, and building unified customer profiles.
- Proficiency in querying languages (SQL) and an understanding of marketing automation workflows.
- Strong communication skills with the ability to translate marketing objectives into technical data architectures.
- Experience with other Adobe ecosystem tools (Adobe Target, Adobe Analytics, Customer Journey Analytics).
- Familiarity with Python, JavaScript, or general cloud infrastructure (AWS, Azure, GCP).
- Previous experience migrating legacy DMP or marketing automation platforms into AEP.
- Adobe certifications in RTCDP or AJO.
- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
We are looking for a Data Architect specialized in the Adobe Experience Platform to unify customer data across the enterprise. This person architects RTCDP and AJO solutions, designs XDM schemas, and configures identity resolution frameworks that power unified customer profiles. Partnering with marketing and analytics teams on data ingestion and activation is central here.
- Design and implement robust data architectures within the Adobe Experience Platform (AEP), focusing heavily on RTCDP and AJO.
- Architect and maintain the Experience Data Model (XDM) schemas, ensuring standardized data taxonomies across the organization.
- Configure data ingestion pipelines (batch and streaming) from various enterprise sources into AEP.
- Define and configure identity resolution frameworks and merge policies to build comprehensive, unified customer profiles.
- Partner with CRM and Marketing teams to build and orchestrate complex, cross-channel customer journeys in Adobe Journey Optimizer (AJO).
- Create and manage advanced audience segments within RTCDP for activation across various marketing destinations.
- Troubleshoot and optimize data flows, ensuring high data quality, governance, and compliance with privacy regulations.
- Provide technical leadership and mentorship to junior engineers and cross-functional teams regarding AEP best practices.
- 5+ years of experience in Data Architecture, MarTech engineering, or Data Engineering.
- Proven hands-on expertise with the Adobe Experience Platform (AEP), specifically RTCDP and Adobe Journey Optimizer (AJO).
- Deep understanding of the Experience Data Model (XDM) and JSON-based schema design.
- Strong background in data ingestion (REST APIs, cloud storage connections, streaming endpoints) and data integration strategies.
- Experience with identity management, profile stitching, and building unified customer profiles.
- Proficiency in querying languages (SQL) and an understanding of marketing automation workflows.
- Strong communication skills with the ability to translate marketing objectives into technical data architectures.
- Upper-intermediate English level.
- Experience with other Adobe ecosystem tools (Adobe Target, Adobe Analytics, Customer Journey Analytics).
- Familiarity with Python, JavaScript, or general cloud infrastructure (AWS, Azure, GCP).
- Previous experience migrating legacy DMP or marketing automation platforms into AEP.
- Adobe certifications in RTCDP or AJO.
- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
- 4+ years of experience.
- Snowflake, including data modeling, datamarts, and data warehouse design.
- DBT for data transformations.
- Python, including object-oriented programming and data scripting.
- Airflow for pipeline orchestration.
- REST API integration and data ingestion.
- Google BigQuery querying and optimization.
- Secure handling of large-scale and sensitive data.
- Real-time data processing (e.g., from Google Sheets or APIs).
- Strong SQL, including highly optimized queries.
- Comprehensive documentation skills.
- Upper-intermediate English level.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
