Data Engineer - SQL BI

Role Overview: As a Data Engineer - SQL BI at UPS, you will be responsible for developing batch and real-time data pipelines using various data analytics processing frameworks to support Business Intelligence (BI), Data Science, and web application products. Your role will involve integrating data from internal and external sources, performing ETL data conversions, data cleansing, and enrichment. You will also be involved in full systems life cycle management activities, such as analysis, technical requirements, design, coding, testing, and implementation of systems and applications software. Additionally, you will assist in synthesizing disparate data sources to create reusable and reproducible data assets and support application developers in semantic and analytical modeling. Key Responsibilities: - Develop batch and real-time data pipelines using various data analytics processing frameworks - Integrate data from internal and external sources - Perform extract, transform, load (ETL) data conversions - Facilitate data cleansing and enrichment - Engage in full systems life cycle management activities - Assist in synthesizing disparate data sources to create reusable and reproducible data assets - Support application developers in semantic and analytical modeling Qualifications: - 3-5 years of experience with SQL BI / Azure Data Engineering and Warehousing - Experience with SSIS, SSAS, Azure SQL DB, Azure Data Factory, Semantic Model Development - Excellent written and verbal communication skills - Time management skills - Ability to work independently and collaboratively in a team - A Bachelors degree in MIS or mathematics, statistics, computer science, or equivalent job experience (Note: Additional details about the company were not provided in the job description) Role Overview: As a Data Engineer - SQL BI at UPS, you will be responsible for developing batch and real-time data pipelines using various data analytics processing frameworks to support Business Intelligence (BI), Data Science, and web application products. Your role will involve integrating data from internal and external sources, performing ETL data conversions, data cleansing, and enrichment. You will also be involved in full systems life cycle management activities, such as analysis, technical requirements, design, coding, testing, and implementation of systems and applications software. Additionally, you will assist in synthesizing disparate data sources to create reusable and reproducible data assets and support application developers in semantic and analytical modeling. Key Responsibilities: - Develop batch and real-time data pipelines using various data analytics processing frameworks - Integrate data from internal and external sources - Perform extract, transform, load (ETL) data conversions - Facilitate data cleansing and enrichment - Engage in full systems life cycle management activities - Assist in synthesizing disparate data sources to create reusable and reproducible data assets - Support application developers in semantic and analytical modeling Qualifications: - 3-5 years of experience with SQL BI / Azure Data Engineering and Warehousing - Experience with SSIS, SSAS, Azure SQL DB, Azure Data Factory, Semantic Model Development - Excellent written and verbal communication skills - Time management skills - Ability to work independently and collaboratively in a team - A Bachelors degree in MIS or mathematics, statistics, computer science, or equivalent job experience (Note: Additional details about the company were not provided in the job description)