Apps Dev Analyst-Cloud Data Engineer

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., 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

Do you have experience in XML?, Mid-Senior Level (3 or more years of relevant experience), * 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

• Competitive salary