Sr. Applications Developer Data Engineer

Job Description & Requirements:-Develop systems to extract, transform, and load (ETL) data from various sources to salesforce and Profours environments-Ensure the reliability, availability, and performance of data systems, including databases, data warehouses, and cloud platforms.-Implement processes to monitor and ensure data accuracy, consistency, and compliance with data governance policies.-Work with developers, product manager and business users to understand their data needs, define data requirements, and develop solutions that meet their requirements-Identify and implement improvements to data pipelines and infrastructure to enhance performance and scalability.-Identify list of Data Items for conversion-Identify Data attributes (fields) for each item-Create/Update data templates-Populate Data templates with clean data- Create/Update data load steps-Mock data load in Dev env- Modify adjust data load steps- Interact daily with business units and business owners to understand business processes and key requirements, proactively working to resolve issues with Data-Develop automation scripts to streamline data processing tasks.-Monitor and troubleshoot data-related issues-Identify current data gaps- Prepare and analyse data conversion requirementsSkill and Experience Requirements:-Bachelors or masters degree in computer science, Data Science, or related field or equivalent work experience-Proven experience a Data engineer, Data analyst, or similar role (3+ years)-Expertise in Salesforce data structures and API integration-Experience with Salesforce Data Loader, Workbench, and reporting tools-Familiarity with ETL tools and ELT frameworks for data transformation and loading-Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.Proficiency in SQL, Python, and potentially other languages like Java or Scala.-Experience with various database systems, including relational databases (SQL), NoSQL databases, and data warehousing solutions.-Understanding of data warehousing concepts, technologies, and best practices.-Ability to design and implement data models to support business needs.-Understanding of data governance principles and security best practices.-Knowledge of software engineering principles, such as design patterns, version control, and testing methodologies.-Excellent troubleshooting, analysis and problem-solving skills-Ability to effectively prioritize and escalate issues as required-Excellent written and verbal communication skills-Detailed, organized, and results-oriented-Ability to multi-task and perform effectively under pressure-Ability to work effectively in a fast paced, high energy, team-oriented environment.-Strong communication skills-Understanding of Manufacturing and/or Supply Chain Business processes is preferred but not required- Client facingPreferred Qualifications:-Salesforce certifications - - Salesforce Certified Data Architect, Salesforce Administrator).-Understanding of Manufacturing and/or Supply Chain Business processes is preferred but not required-Certifications in Data Architecture, Cloud Computing, or Database Management.-Experience with big data technologies and AI-driven data solutions.-Knowledge of data privacy regulations (e.g., GDPR, CCPA).