Data Engineer

Details Design, develop, and maintain robust and efficient data pipelines to ingest, transform, catalog, and deliver curated, trusted, and quality data from disparate sources into our Common Data Platform. Actively participate in Agile rituals and follow Scaled Agile processes as set forth by the CDP Program team. Deliver high-quality data products and services following Safe Agile Practices. Proactively identify and resolve issues with data pipelines and analytical data stores. Deploy monitoring and alerting for data pipelines and data stores, implementing auto-remediation where possible to ensure system availability and reliability. Employ a security-first, testing, and automation strategy, adhering to data engineering best practices. Collaborate with cross-functional teams, including product management, data scientists, analysts, and business stakeholders, to understand their data requirements and provide them with the necessary infrastructure and tools. Keep up with the latest trends and technologies, evaluating and recommending new tools, frameworks, and technologies to improve data engineering processes and efficiencies. Data Engineer-Hybrid(Various locations in USA) About Role The Common Data Platform (CDP) is an exciting new, multi-district program to create a cloud based, end-to-end data management platform to reduce data cost and improve user experience. The CDP program team is comprised of members using the Scaled Agile Framework for Enterprises (SAFe) to provide incremental and iterative business value. This is a unique and exciting opportunity to be part of a team on the leading edge of data management and consumption. As a Data Engineer, this contingent worker will be responsible for collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into actionable insights. They will work across multiple platforms to ensure that data pipelines are scalable, repeatable, and secure, capable of serving multiple users. Responsibilities Design, develop, and maintain robust and efficient data pipelines to ingest, transform, catalog, and deliver curated, trusted, and quality data from disparate sources into our Common Data Platform. Actively participate in Agile rituals and follow Scaled Agile processes as set forth by the CDP Program team. Deliver high-quality data products and services following Safe Agile Practices. Proactively identify and resolve issues with data pipelines and analytical data stores. Deploy monitoring and alerting for data pipelines and data stores, implementing auto-remediation where possible to ensure system availability and reliability. Employ a security-first, testing, and automation strategy, adhering to data engineering best practices. Collaborate with cross-functional teams, including product management, data scientists, analysts, and business stakeholders, to understand their data requirements and provide them with the necessary infrastructure and tools. Keep up with the latest trends and technologies, evaluating and recommending new tools, frameworks, and technologies to improve data engineering processes and efficiencies. Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience. 2+ years' experience with tools such as Databricks, Collibra, and Starburst. 3+ years' experience with Python and PySpark. Experience using Jupyter notebooks, including coding and unit testing. Recent accomplishments working with relational and NoSQL data stores, methods, and approaches (STAR, Dimensional Modeling). 2+ years of experience with a modern data stack (Object stores like S3, Spark, Airflow, Lakehouse architectures, real-time databases) and cloud data warehouses such as RedShift, Snowflake. Overall data engineering experience across traditional ETL & Big Data, either on-prem or Cloud. Data engineering experience in AWS (any CFS2/EDS) highlighting the services/tools used. Experience building end-to-end data pipelines to ingest and process unstructured and semi-structured data using Spark architecture. Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers. About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are CMM Level 5 company #J-18808-Ljbffr Stefanini Group