Senior Data Engineer – SnapLogic & Snowflake - Remote - Fulltime

Job OverviewWe are looking for an experienced Senior Data Engineer with 10–12 years of experience in data engineering and strong hands-on expertise in SnapLogic and Snowflake. The ideal candidate will be responsible for designing, developing, and supporting scalable data integration and data processing solutions using modern cloud data technologies.SnapLogic and Snowflake are key skillsets for this position and are mandatory.Key Responsibilities

• Design, develop, and maintain robust data integration pipelines using SnapLogic.
• Develop and optimize data solutions using Snowflake as the cloud data warehouse.
• Build scalable and reliable ETL/ELT pipelines to integrate data from multiple source systems.
• Develop data processing and automation solutions using Python.
• Design and implement efficient data models, transformations, and data workflows in Snowflake.
• Perform Snowflake performance tuning, query optimization, and warehouse optimization.
• Develop and maintain SnapLogic pipelines, integrations, mappings, transformations, and error-handling mechanisms.
• Schedule, monitor, and manage batch jobs and enterprise workflows using Control-M.
• Troubleshoot data pipeline failures, integration issues, and production incidents.
• Implement data quality, validation, logging, monitoring, and exception-handling mechanisms.
• Collaborate with architects, business analysts, application teams, and other stakeholders to understand data requirements.
• Participate in code reviews, technical design discussions, testing, deployment, and production support.
• Ensure data engineering solutions follow organizational standards for security, scalability, performance, and maintainability.
• Provide technical guidance and mentoring to junior and mid-level data engineers.Required Technical SkillsMandatory Skills
• 10–12 years of overall Data Engineering experience.
• Strong hands-on experience with SnapLogic for enterprise data integration and pipeline development.
• Strong hands-on experience with Snowflake, including data warehousing, SQL, performance tuning, optimization, and data modeling.
• Strong programming experience in Python for data processing and automation.
• Hands-on experience with Control-M for enterprise job scheduling, workflow orchestration, and monitoring.Additional Skills
• Strong understanding of ETL/ELT concepts and data integration patterns.
• Strong SQL development and query optimization skills.
• Experience working with relational and cloud-based data sources.
• Understanding of data warehouse architecture and dimensional/data modelling.
• Experience with data pipeline monitoring, troubleshooting, and production support.
• Knowledge of cloud data engineering and modern data platform architecture is preferred.
• Experience working in Agile/Scrum development environments.Preferred Qualifications
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• Experience working on large-scale enterprise data engineering projects.
• Experience with CI/CD, version control, and automated deployment processes.
• Good understanding of data governance, security, and data quality practices.Key Competencies
• Strong analytical and problem-solving skills.
• Ability to independently design and deliver data engineering solutions.
• Strong communication and stakeholder management skills.
• Ability to work effectively in a collaborative, cross-functional environment.
• Strong troubleshooting and production-support capabilities.Experience Required10–12 YearsMust-Have SkillsSnapLogic | Snowflake | Python | Control-MImportant: Candidates without strong hands-on SnapLogic and Snowflake experience should not be considered for this position