As a python developer working within the Xecta Platform and Infrastructure team, the candidate will bring value to the organization by engineering customer-specific data ingestion solutions. The candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced python developer with experience building Object-Oriented solutions in Python from the ground up.
The solutions will typically be based on commonly used ETL/Ingestion tools such as Apache Airflow and Kafka. The candidate will use their skills to engineer data pipelines that provide batch, scheduled, and in specific cases, push-based data pipelines for relational data, unstructured files, REST and Socket-based sources. The candidate with use their programming skills (e.g. python) and knowledge of the Data Engineering landscape to apply the best solution to meet our customer(s) requirements. You will work closely with our Lead Data Engineers to design a solution, articulate that solution to leadership and to implement the solution working with both Xecta Engineers and the Customer data teams.
Xecta Digital Labs is where physics intersects artificial intelligence to create the next-gen cognitive digital solutions for the energy industry. Our software products and digital solutions provide practical and robust workflows for energy companies.