Job Description

Skills:

Data Engineering | ETL/ELT | SSIS | Snowflake | SQL | Data Pipelines | API Integration | Kafka | Python | Power BI | Data Quality | Cloud Data Platforms

We are seeking a highly skilled Senior Data Engineer with strong expertise in data integration, ETL/ELT, and cloud data platforms . The ideal candidate will design and build scalable data pipelines, develop integration strategies, and ensure high-quality, reliable data movement across enterprise systems.

Key Responsibilities:

• Define and implement data integration strategy, architecture, and roadmap (batch vs real-time, API vs ETL)
• Design, develop, and maintain scalable data pipelines for internal and external data sources
• Build and manage ETL/ELT processes using tools such as SSIS and modern data platforms
• Develop API-based integrations and data transformation workflows
• Ensure data quality through validation, cleansing, and reconciliation processes
• Optimize data workflows for performance, scalability, and reliability
• Implement monitoring, logging, error handling, and alerting mechanisms for data pipelines
• Maintain documentation for data flows, mappings, and transformation logic
• Ensure compliance with data governance, security, and regulatory standards (PII, etc.)
• Collaborate with business and technical stakeholders to understand data requirements and deliver solutions

Required Qualifications:

• 7+ years of experience in Data Engineering and Data Integration
• Strong expertise in Data Warehousing concepts and architecture
• Hands-on experience with ETL/ELT tools (SSIS preferred)
• Strong proficiency in SQL Server or other RDBMS
• Experience building and maintaining data pipelines
• Experience implementing data quality frameworks (QA/QC)
• Hands-on experience with cloud data platforms (e.g., Snowflake)
• Experience with BI tools (e.g., Power BI)
• Experience with API integrations (e.g., MuleSoft)
• Strong communication and stakeholder management skills

Preferred Qualifications:

• Experience with real-time data pipelines (Kafka, Python)
• Knowledge of Data Lakehouse architecture
• Experience handling sensitive data (PII, HIPAA compliance)
• Exposure to Salesforce integrations
• Familiarity with AWS (Lambda), Kubernetes, or containerization tools
• Experience with Microsoft 365 and MS Access

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