Data Engineer

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TTEC

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1984

🤝 B2B

💰 Post-IPO Debt on 2021-11

B2B • Customer Experience • AI

TTEC is a global customer experience technology and services company that specializes in Customer Experience (CX) strategy, contact center operations, and AI-enhanced services. Serving brands across diverse industries, TTEC employs a unique blend of human talent and AI technology to optimize customer interactions and drive satisfaction. With over 54,000 employees across 80+ contact centers, TTEC provides tailored solutions that enhance customer journeys, improve operational efficiency, and foster long-term loyalty.

📋 Description

• Design, build, and maintain robust ETL/ELT data pipelines on Google Cloud Platform • Write efficient, production-grade SQL for data transformation, modeling, and analysis • Develop and maintain Python -based data processing scripts and automation • Build and manage workflow orchestration using Apache Airflow (e.g. Cloud Composer) • Work with Datastream and other GCP services to ingest and replicate data from source systems • Support and maintain data models and dashboards in Looker • Implement data quality checks, monitoring, and alerting for pipelines • Troubleshoot and resolve pipeline and data issues • Collaborate with analysts, data scientists, and business stakeholders to understand data needs • Document pipelines, data flows, and processes

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field (or equivalent practical experience) • At least 2 years of hands-on experience in data engineering, data pipeline development, or a similar data-focused role • Strong SQL skills — able to write complex queries, optimize performance, and work with large datasets • Strong Python skills — able to build data pipelines, automation, and scripts independently • Hands-on experience with cloud platforms, preferably Google Cloud Platform (BigQuery, Cloud Storage, etc.) • Experience with workflow orchestration tools, ideally Apache Airflow • Solid understanding of data warehousing, data modeling, and ETL/ELT best practices • Strong problem-solving skills and the ability to work independently • Good communication and collaboration skills • Must be able to work US shift.

🏖️ Benefits

• Supportive of your career and professional development • An inclusive culture and community minded organization where giving back is encouraged • A global team of curious lifelong learners guided by our company values • Ask us about our paid time off (PTO) and wellness and healthcare benefits • A great compensation package and performance bonus opportunities • Tuition reimbursement