Senior Data Engineer
Hyderabad
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-Time
Employment type in the employer’s posting: Full-Time
From the employer’s posting
What you’ll work on
Full postingAnalyze raw data and develop, maintain and optimize datasets and pipelines
Design and develop data engineering solutions in cloud environments
Support implementation, upgrade, migration and modernization initiatives
Provide technical guidance and cross-training to junior Data Engineers
Create and maintain technical solution, architecture and design documentation
From the employer’s posting
Analyze raw data and develop, maintain, and optimize datasets and data pipelines.
Design and develop data engineering solutions in cloud environments.
Support implementation, upgrade, migration, and modernization initiatives.
Provide technical guidance and cross-training to junior Data Engineers and team members.
Create and maintain technical solution, architecture, and design documentation.
What you’ll bring
All qualificationsCore experience
- Strong understanding of technical concepts (posting is cut off here)
Qualification wording
Strong understanding of technical concepts wit
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 10, 2026 · 18 days ago
- Recorded sightings
- 28
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Sep 24, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
Job description
Senior Data Engineer
Position Purpose
The Senior Analyst – Data Engineering is part of TTEC Digital’s 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
Employment type
Full-Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.