Senior Data Engineer

• Data Engineering & Development Design, develop, and maintain scalable and high-performance data pipelines.
  
• Build and optimize ETL/ELT processes to ingest, transform, and deliver data across enterprise platforms.
  
• Develop and maintain reusable data engineering frameworks and components.
  
• Implement data integration solutions for structured and unstructured data sources.
  
• Support modern cloud-based data platform initiatives.
  
• Data Ingestion & Pipeline Operations Develop and manage batch and real-time data ingestion pipelines.
  
• Monitor and optimize pipeline performance, reliability, and scalability.
  
• Troubleshoot data processing issues and implement corrective actions. Automate data workflows and orchestration processes.
  
• Ensure timely and accurate data delivery to downstream consumers.
  
• Data Quality & Governance Implement data validation, reconciliation, and quality controls. Support data governance standards, metadata management, and data lineage initiatives.
  
• Identify and resolve data quality issues and causes. Contribute to data observability and monitoring solutions.
  
• Ensure compliance with organizational data management standards. Meridian Platform Support & Implementation Support the implementation and enhancement of Meridian data solutions.
  
• Develop integrations and data pipelines supporting Meridian initiatives.
  
• Collaborate with stakeholders to translate business requirements into technical solutions.
  
• Ensure successful deployment, testing, and operational support of Meridian-related capabilities.
  
• Technical Leadership & Collaboration Provide technical guidance and mentorship to junior and mid-level engineers.
  
• Participate in architecture reviews, design sessions, and code reviews.
  
• Collaborate with data architects, product owners, analysts, and business stakeholders.
  
• Promote engineering best practices, automation, and continuous improvement.
  
• Document technical designs, standards, and operational procedures.
  

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. 5+ years of experience in Data Engineering or related disciplines.
  
• Strong experience designing and developing enterprise data pipelines and integration solutions.
  
• Expertise in SQL and one or more programming languages such as Python, Scala, or Java. Experience with ETL/ELT frameworks, data warehousing, and data lake architectures.
  
• Experience with cloud platforms such as Azure, AWS, or Google Cloud.
  
• Knowledge of workflow orchestration tools such as Airflow, Azure Data Factory (ADF), or similar platforms.
  
• Strong understanding of data quality, data governance, and monitoring concepts.
  
• Experience troubleshooting and optimizing large-scale data processing solutions.
  
• Preferred Qualifications Experience with Meridian platform implementation or support.
  
• Experience with Data bricks, Snowflake, Azure Synapse, Microsoft Fabric, or similar modern data platforms.
  
• Knowledge of streaming technologies such as Kafka, Spark Streaming, or Event Hubs.
  
• Familiarity with DevOps practices, CI/CD pipelines, Infrastructure as Code (IaC), and automated testing.
  
• Experience supporting AI/ML data pipelines and feature engineering. Relevant cloud, data engineering, or platform certifications.
  
• Success Measures Reliable and scalable data pipelines with minimal operational issues. Improved data quality and reduced production defects.
  
• Timely delivery of data engineering solutions and enhancements.
  
• Successful implementation and support of Meridian data initiatives.
  
• Increased automation, operational efficiency, and platform stability. High-quality technical documentation and adherence to engineering standards.