Sr Data Integration Engineer

Description

• Develop and maintain scalable data pipelines and workflows using Python and modern data tools.
• Design and implement a robust, scalable Customer Data Platform (CDP) to centralize and unify customer data from multiple sources (CRM, ERP, web, mobile, etc.).
• Implement data governance and privacy practices to ensure compliance with regulations (e.g., GDPR, CCPA).
• Establish and maintain positive and productive work relationships with all staff, customers and business partners.
• Troubleshoot and resolve data-related issues, ensuring system reliability and efficiency.
• Develop and maintain APIs and data pipelines to support real-time and batch data integration between the CDP and internal/external systems.
• Document architecture, data flows, and integration patterns to support maintainability and scalability.
• Ensure data quality, governance, and compliance with internal policies and external regulations.
• Follow the company HR Policy, the Code of Business Conduct and all subsidiary and department policies and procedures, including protecting confidential company information, attending work punctually and regularly, and following good safety practices in all activities.
• Meet all performance and behavior expectations outlined in the company performance appraisal form or communicated by management.
• Utilize Git version control and CI/CD pipelines to deploy and manage data workflows.
• Optimize and manage data environments, including data modeling, security practices, and Lakehouse performance.
• Evaluate and recommend tools, platforms, and technologies to support the CDP and integration framework.
• Communicate effectively with stakeholders, translating technical concepts into actionable insights.
• Code, test, deploy, orchestrate, monitor, document, and troubleshoot cloud-based data engineering processes and associated automation in accordance with best practices and security standards throughout the development lifecycle.
• Monitor and optimize data flows and API performance to ensure high availability and low latency.
• Build and maintain production-grade data integrations across internal and third-party systems.
• Collaborate with cross-functional teams including marketing, product, engineering, and business stakeholders to define data requirements and integration strategies.

Requirements

• Experience with data integration tools such as Apache NiFi, Talend, Informatica, etc.
• 10+ years of experience with SQL, Python, or PowerShell.
• Proven experience building or integrating with Customer Data Platforms such as Segment, Salesforce CDP, Adobe Experience Platform, or custom-built solutions.
• Experience with identity resolution, customer segmentation, and real-time personalization use cases preferred.
• Bachelor’s or Master’s degree in computer science, engineering, or related field.
• Familiarity with event-driven architectures, message queues (ex., Kafka), and microservices.
• Strong proficiency in ETL/ELT pipelines and data modeling.
• 5+ years of experience with cloud-native tools (ADF, Glue, Cloud Data Fusion, dbt, Airflow).
• Knowledge of data warehousing and analytics platorms (ex. Snowflake, BigQuery, Databricks) preferred.
• 5+ years of experience with cloud platforms such as Azure, AWS, GCP, ect.
• 10+ years of experience with RESTful APIs.
• Strong understanding of data privacy and security best practices.
• Familiarity with CI/CD pipelines and Infrastructure as Code (IaC) tools (Bicep, Terraform, Pulumi, CloudFormation)

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance