Augmentation Analyst - Sustainability Data Warehousing

Role Overview: You will work on closing gaps in the company's offering on ontology alignment, progressing selected databases to completed licensing, and readying them for ingestion. Your main focus will involve initial data analysis, identifying data corrections, data augmentation, and data quality enhancement, as well as assessing and enhancing the usefulness of a data source. You will work with S3, Lambda, Glue, AppSync, Neptune, and Snowflake AWS stacks. Key Responsibilities: - Close gaps in the company's offering on ontology alignment - Progress selected databases to completed licensing and ready them for ingestion - Conduct initial data analysis and identify data corrections - Perform data augmentation and enhance data quality - Assess and enhance the usefulness of a data source - Work with S3, Lambda, Glue, AppSync, Neptune, and Snowflake AWS stacks Qualifications Required: - Bachelors or masters degree in computer science, engineering, applied math, quantitative methods, or a related field - 3 years of professional work experience with proven data engineering skills - Experience building data products (e.g., data warehouses, data lakes, data hubs, etc.) including data modeling - Proficiency in Python and SQL - AWS experience or other public cloud technology is a plus - Graph development experience is a plus - RDF & SPARQL is a plus - Strong interest in data management and processing, including modern architectures and techniques Role Overview: You will work on closing gaps in the company's offering on ontology alignment, progressing selected databases to completed licensing, and readying them for ingestion. Your main focus will involve initial data analysis, identifying data corrections, data augmentation, and data quality enhancement, as well as assessing and enhancing the usefulness of a data source. You will work with S3, Lambda, Glue, AppSync, Neptune, and Snowflake AWS stacks. Key Responsibilities: - Close gaps in the company's offering on ontology alignment - Progress selected databases to completed licensing and ready them for ingestion - Conduct initial data analysis and identify data corrections - Perform data augmentation and enhance data quality - Assess and enhance the usefulness of a data source - Work with S3, Lambda, Glue, AppSync, Neptune, and Snowflake AWS stacks Qualifications Required: - Bachelors or masters degree in computer science, engineering, applied math, quantitative methods, or a related field - 3 years of professional work experience with proven data engineering skills - Experience building data products (e.g., data warehouses, data lakes, data hubs, etc.) including data modeling - Proficiency in Python and SQL - AWS experience or other public cloud technology is a plus - Graph development experience is a plus - RDF & SPARQL is a plus - Strong interest in data management and processing, including modern architectures and techniques