Lead I - Data Engineering

As a Data Engineer at UST, your role involves designing, building, and maintaining data pipelines and data models to support analytical and business intelligence needs. You will need hands-on experience with Python or SQL, Google Cloud Platform (GCP), and a strong understanding of data management, quality, and security best practices. **Key Responsibilities:** - Build and maintain moderately complex data pipelines to ensure data flow, transformation, and usability for analytical projects. - Design and implement data models, optimizing for performance and scalability. - Apply knowledge of data characteristics and supply patterns to develop rules and tracking processes that support data quality models. - Prepare data for analytical use by gathering, integrating, cleansing, and structuring data from multiple sources and systems. - Perform design, creation, and interpretation of large and highly complex datasets. - Troubleshoot pipeline and data issues to ensure accuracy and reliability. - Stay up-to-date with GCP advancements and recommend innovative solutions. - Implement security best practices within data pipelines and cloud infrastructure. - Collaborate with global teams to share and adopt best practices in data management, maintenance, reporting, and security. - Develop and execute data quality checks to ensure consistency and integrity. - Work with credit data products and perform analysis using tools like Google BigQuery, BigTable, DataFlow, and Spark/PySpark. **Mandatory Skills:** - Python or SQL Proficiency: Experience with Python or SQL and intermediate scripting for data manipulation and processing. - GCP & Cloud Fundamentals: Intermediate understanding and experience with Google Cloud Platform (GCP) and overall cloud computing concepts. - Data Pipeline Construction: Proven ability to build, maintain, and troubleshoot moderately complex pipelines. - Data Modeling & Optimization: Experience designing and optimizing data models for performance. - Data Quality Governance: Ability to develop rules, tracking processes, and checks to support a data quality model. - Data Preparation & Structuring: Skilled in integrating, consolidating, cleansing, and structuring data for analytical use. - Security Implementation: Knowledge of security best practices in pipelines and cloud infrastructure. - Big Data Analysis Tools: Hands-on experience with Google BigQuery, BigTable, DataFlow, Scala + Spark or PySpark. - Advanced Data Formats: Experience working with JSON, AVRO, and PARQUET formats. - Communication & Best Practices: Strong communication skills to promote global best practices and guide adoption. **Preferred Qualifications:** - Cloud certification (e.g., GCP Data Engineer, AWS, Azure). - Experience with credit data products. - Familiarity with data governance frameworks and metadata management tools. **About UST:** UST is a global digital transformation solutions provider that partners with clients to embed innovation and agility into their organizations. With over 30,000 employees in 30 countries, UST aims to make a real impact through transformation, touching billions of lives in the process.,