Data Engineer

About Us

ExxonMobil is one of the world's largest publicly traded international Oil and Gas Company, providing energy that helps underpin growing economies and improve living standards around the world. ExxonMobil uses innovation and technology to deliver energy to a growing world. We explore for, produce and sell crude oil, natural gas and petroleum products.  We operate facilities or market products in most of the world's countries and explore for oil and natural gas on every continent.

We are EMIT. ExxonMobil’s Information Technology arm with over 6,000 associates working globally to provide IT guidance and support to one of the world’s most established companies. But aside from that, we’re a hip crew of technologically smart and savvy individuals, and we make a great team. One that focuses on collaboration, encourages creativity, and embraces change. We’re continuously advancing across multiple platforms, driving strategy and innovation through global digitization and technology enablement, in order to keep ExxonMobil at the top. Through its different affiliates, ExxonMobil has been present in Argentina for over 100 years, helping satisfy our country's energy needs.

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Job Role Summary

The Data Engineer interacts with ExxonMobil’s teams to troubleshoot data flows, data errors, and add data requests to them.

The Data Engineer will need to maintain packages and pipelines which transfer data between field servers, staging database and corporate repositories.

Responsibilities

• Work with field teams to troubleshoot data flows, data errors, and add data requests to these data flows.
• Troubleshoot ETL data flow issues within the corporate network and 3rd party data coming into production systems.
• Maintain SSIS packages which transfer data between field servers, staging database and corporate ETL databases.
• Provide data platforms support (On-premises databases, Data warehouse, Data Lake).
• All these exciting activities and many more are supported by our Agile teams with expertise in different technologies.

Qualifications

• Degree in Engineering/IT, or close to graduating;
• Advanced verbal and written communication English skills;
• Programming skills (e.g. Python);
• ETL tools experience;
• Database experience (SQL);

Desired Skilss

• SQL services (SSIS, SSRS);
• Data modeling;
• Cloud services (e.g. Azure SQL, Azure Synapse, Azure Data Lake, Data bricks, Data Warehouse);
• R programming skills;
• Agile working experience.