Apps Dev Analyst-Cloud Data Engineer

Apps Dev Analyst-Cloud Data Engineer

SMART TECH SKILLS LLC

Tallahassee, FL Job Details Full-time 1 hour ago Qualifications Dashboard development Commercial use (data warehousing systems) Data visualization software proficiency Content creation for technical audiences Data Integration (Data management) Cloud data warehouses XML Business intelligence report generation Dashboard creation support Snowflake Stored procedures ETL process automation Cloud service support Integration Platforms (Enterprise solutions) Software documentation Systems & applications support Cloud solution engineering Technical writing within technology Batch data processing Data analytics technologies Production troubleshooting

Full Job Description Benefits:

Competitive salary Location Remote Experience Level Mid-Senior Level (3 or more years of relevant experience) Role Overview The Data Engineer / ETL Developer is responsible for designing, developing, and supporting enterprise data integration, ETL/ELT pipelines, and modern data warehousing solutions. This role works across cloud and on‑premises environments to build scalable, reliable data pipelines and reporting systems. The position partners with cross‑functional teams to implement data‑driven solutions, support production systems, and contribute to modernization initiatives using cloud and advanced analytics technologies. Key Responsibilities ETL/ELT Development & Data Engineering Design, develop, and maintain ETL and ELT pipelines for data extraction, transformation, and loading Build and support data integration solutions across enterprise systems Develop SQL scripts, stored procedures, and custom data transformation logic Support batch processing and data ingestion workflows Cloud Data Platforms & Warehousing Develop and maintain data warehouse solutions using Snowflake and cloud platforms Work with modern cloud data architectures in AWS or Azure environments Support data warehouse implementation, optimization, and modernization initiatives Apply best practices for data modeling, storage, and performance Data Integration & Pipeline Automation Design and implement data pipelines using tools such as Kafka, Oracle GoldenGate, or Striim Automate workflows and data pipelines across cloud and on‑premise systems Manage change data capture (CDC) processes and data synchronization Ensure data pipelines meet performance and SLA requirements Reporting & Analytics Support Develop dashboards and reports using Tableau Desktop Support Tableau infrastructure including security, release management, and troubleshooting Translate business intelligence requirements into data and reporting solutions Production Support & Issue Resolution Provide support for data warehouse operations, including troubleshooting data load and transformation issues Perform root cause analysis and coordinate resolution of production incidents Monitor data jobs, dependencies, and batch schedules Architecture, Standards & Best Practices Provide design recommendations aligned with long‑term IT strategy Develop and maintain data engineering standards, reusable code frameworks, and best practices Contribute to enterprise architecture discussions and solution design activities Collaboration & Delivery Work closely with Scrum teams including architects, developers, QA, and DevOps Participate in Agile development processes and cross‑functional collaboration Act as a technical mentor and subject matter expert for data engineering practices Documentation & Quality Assurance Document data pipelines, processes, and implementation details Ensure testing, validation, and quality assurance practices are followed Maintain clear and accessible technical documentation for knowledge transfer Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent work experience 2 or more years of experience in programming or systems analysis Experience with ETL/ELT development and data warehousing concepts Experience working with Snowflake and Snowflake SQL Proficiency in SQL development including scripting and stored procedures Experience with data pipeline and integration tools such as Kafka or Oracle GoldenGate Experience with modern programming languages such as Python, C#, or Scala Experience with Tableau for reporting and dashboard development Experience working in cloud environments such as AWS or Azure Experience with batch job scheduling and data job dependency management Strong understanding of data formats such as CSV, XML, and JSON Experience supporting production data environments and troubleshooting issues Strong communication and documentation skills Preferred Qualifications Experience with Alteryx for ETL/ELT development Experience with advanced data modeling and data warehouse architecture Familiarity with Unix scripting and automation Experience with CI/CD and DevOps tools Experience with Generative AI tools and developer productivity platforms such as GitHub Copilot Core Skills & Attributes Strong analytical and data problem‑solving skills Ability to design scalable and reliable data pipelines Strong attention to detail and data quality Ability to troubleshoot complex production issues Effective collaboration across technical and business teams Ability to manage multiple priorities in a fast‑paced environment Self‑motivated with strong ownership and accountability Strong written and verbal communication skills