Data Engineer (ETL & Data Integration) / $5,500 - #1101902

Key Responsibilities:

• Design, develop, and maintain scalable ETL pipelines for production-grade datasets.

• Partner with business units to model data across multiple domains.

• Ensure the timely and reliable delivery of high-quality datasets for analytics, reporting, and application consumption.

• Curate large and complex datasets to support data science and BI initiatives.

• Implement and maintain data virtualization views for seamless data access.

• Collaborate with infrastructure teams on secure, efficient deployment practices.

• Monitor and optimize data workflows for performance and reliability.

• Ensure compliance with data governance, access control, and security policies.

• Automate and schedule data jobs using enterprise-grade schedulers.

• Participate in continuous improvement of data architecture and engineering standards.

Technical Skill Set:

• ETL & Data Streaming: Talend, Qlik Replicate (Attunity), Apache Kafka, REST APIs, JSON/XML

• Databases & Querying: Proficient in SQL; experience with MS SQL Server and MongoDB

• Data Virtualization: Experience with Denodo (VQL, data services, scheduling)

• Scheduling Tools: Talend Scheduler, Denodo Scheduler, Unix/Linux cron jobs

• Programming & Scripting: SQL, Python, Shell scripting

• Data Modeling: Familiarity with ER modeling and dimensional modeling (e.g., Kimball methodology)

• Infrastructure & Deployment: Linux/Unix, Kubernetes (on Nutanix), Jenkins CI/CD, Nexus Repository

• Security & Access Control: Knowledge of LDAP, SAML, Azure Entra ID

To Apply, please kindly email your updated resume to [email protected]

Regret to inform that only shortlisted candidates will be notified.

CEI: R25127749

EA License: 14C7275