Standards Engineer responsible for designing, updating, and communicating engineering standards at Liberty, impacting energy and water solutions. Collaborate across departments to ensure compliance and provide training.
Responsibilities
- Develop data pipelines for ingestion, transformation, and delivery at scale;
- Work with modern architectures such as Lakehouse, Data Mesh, and Medallion;
- Ensure data quality, traceability, versioning, and safe reprocessing of data;
- Support the construction of observable environments and DataOps practices;
- Implement solutions focused on performance, governance, and security;
- Collaborate with architects, data scientists, and data analysts to enable efficient integrations;
- Participate in technical discussions with clients and recommend best practices.
Requirements
- Solid experience in data engineering on complex projects (level proportional to seniority);
- Strong SQL skills and hands-on experience with data transformation and integration;
- Proficiency in Python for data manipulation and automation;
- Experience with Microsoft ecosystem tools or equivalents on the Microsoft Fabric platform:
- Azure Data Factory
- Azure Synapse Analytics
- Azure Data Lake
- Azure SQL / SQL Server
- Power BI (dataset integration and modeling)
- Experience with data orchestration, versioning, CI/CD, and monitoring;
- Knowledge of data modeling best practices (relational and analytical);
- Experience with cloud environments (Azure);
- Familiarity with Git, DevOps, and deployment automation;
- Experience with tools such as dbt, Airflow, Dagster;
- Experience with data platforms such as Databricks, Snowflake, BigQuery, etc.;
- Microsoft certifications (DP-203, DP-700, etc.);
- Experience with AI projects, MLOps, or advanced analytics.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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