Own and scale the data platform powering customer-facing analytics, from CDC ingestion and dbt modeling to near-real-time pipelines, secure data sharing, reliability, and incident response.
Senior Data Engineer
๐ Description
- Analyze raw data and build, maintain, and optimize datasets and data pipelines.
- Improve data quality, performance, reliability, and efficiency.
- Design and develop data engineering solutions in cloud environments.
- Document technical solutions, architectures, and designs.
- Support implementation, upgrade, migration, and modernization initiatives.
- Create team standards and training materials, guide junior engineers, and contribute to presales estimates and project delivery.
๐ ๏ธ Requirements
- Strong interpersonal, communication, and problem-solving skills.
- Results-oriented, flexible, resourceful, and customer-focused.
- Ability to prioritize and manage multiple projects and deliverables.
- Ability to work effectively with diverse teams and stakeholders.
Full job description
Senior Data Engineer
Position Purpose
The Senior Analyst โ Data Engineering is part of TTEC Digitalโs Analytics & Insights Experience (AIX) team, supporting Data Science and Engineering initiatives involving data modeling, data pipelines, cloud platforms, APIs, and analytics solutions.
The role works closely with Data Scientists, Engineers, Project Leads, and Managers on implementation, migration, and modernization projects, with responsibility for developing reliable and scalable data solutions.
Key Responsibilities
-
Analyze raw data and develop, maintain, and optimize datasets and data pipelines.
-
Improve data quality, performance, reliability, and efficiency.
-
Design and develop data engineering solutions in cloud environments.
-
Create and maintain technical solution, architecture, and design documentation.
-
Work independently as well as collaboratively within large project teams.
-
Support implementation, upgrade, migration, and modernization initiatives.
-
Develop internal training materials, processes, standards, and best practices.
-
Provide technical guidance and cross-training to junior Data Engineers and team members.
-
Continuously develop technical skills through hands-on experience and formal learning.
-
Support pre-sales activities, including technical inputs and effort estimation.
-
Collaborate with Project Management to ensure projects are delivered on time and within budget.
Competencies
-
Strong interpersonal, communication, and problem-solving skills.
-
Results-oriented, flexible, resourceful, and customer-focused.
-
Ability to prioritize and manage multiple projects and deliverables.
-
Ability to work effectively with diverse teams and stakeholders.
-
Strong understanding of technical concepts wit
Similar jobs
Search more Data Engineer jobsSenior Data Engineer - Databricks
Design and optimize scalable Databricks data pipelines and infrastructure, applying data governance practices to improve data quality, lineage, security, and reliability across enterprise data platforms.
Own the design, delivery, and reliability of complex data pipelines and models across Azure and Snowflake, enabling trusted data for business decisions while setting engineering standards and mentoring colleagues.
Senior Data Engineer (Cybersecurity)
Own and modernize scalable data infrastructure for a cybersecurity product by improving pipelines, data models, and SQL performance while driving reliability and architectural improvements.
Build and operate production data pipelines connecting CRM, Data Lake, and Adobe Experience Platform, while ensuring data quality, LGPD compliance, and reproducible engagement metrics.
