Data Engineer, Specialist

Advanced Data Solutions SpecialistProvides advanced data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure. Utilizes a deep dive analytical skillset on a variety of internal and external data.Core Responsibilities1. Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.2. Troubleshoots software and processes for data consistency and integrity. Integrates large scale data from a variety of sources for business partners to generate insight and make decisions.3. Translates business specifications into design specifications and code. Responsible for writing complex programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.4. Partners with internal clients to gain an enhanced understanding of business functions and informational needs. Gains expertise in tools, technologies, and applications/databases in specific business areas and company-wide systems.5. Leads all phases of solution development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members.6. Tests code thoroughly for accuracy of intended purpose. Reviews end product with the client to ensure adequate understanding. Provides data analysis guidance as required.7. Designs and conducts training sessions on tools and data sources used by the team and self provisioners. Provides job aids to team members and business users.8. Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production.9. Participates in special projects and performs other duties as assigned.QualificationsMinimum 5 years of relevant work experience, with at least 2 years in designing and maintaining data pipelines, ETL processes and database architectures.Bachelor's degree or equivalent experienceStrong expertise in SQL, Python, or Scala for data processing, automation and transformation.Hands-on experience with big data frameworks such as Apache Spark, Hadoop, or Kafka for real-time and batch processing.Experience in cloud data platforms including AWS Redshift, Google Big Query, or Azure Synapse, with proficiency in cloud-native ETL and data pipeline tools.Strong understanding of data modeling principles, relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra).