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Data Engineer –Accenture

Vrinda International

Job Location:

Hyderabad - India

Monthly Salary: L 13 - 15

Experience Required: 6-9years

Posted: 20 August 2026 (Yesterday)

Application Deadline: 17 November 2026

Vacancies: 1 Vacancy

Job Summary

HIRING Data Engineer Associate Manager

Location: Hyderabad

Experience: 7.5 Years

Role: Associate Manager

Market: EMEA Workstream: Core

Skill: Data Engineering

Education: 15 Years Full-Time Education Required

We are looking for an experienced Data Engineering professional with strong expertise in data pipelines ETL data integration cloud data platforms and scalable data solutions. The ideal candidate should be capable of leading technical initiatives and collaborating with multiple teams.

Key Skills & Requirements

Strong hands-on experience in Data Engineering

Data pipeline design development and maintenance

ETL/ELT process implementation

Data integration and migration

Cloud-based data platforms

Distributed computing frameworks

Data quality assurance and monitoring

Data storage and retrieval optimization

Scalable data architecture

Workflow optimization and performance improvement

Cross-functional team collaboration

Technical problem-solving and decision-making

Team mentoring and leadership

Key Responsibilities

Design develop and maintain scalable data solutions

Build and manage efficient data pipelines and workflows

Implement ETL processes for data transformation and migration

Ensure data quality integrity and reliability

Design data architectures aligned with evolving business needs

Optimize data storage retrieval and processing performance

Work with cloud platforms and distributed computing technologies

Coordinate with cross-functional teams to improve data workflows

Troubleshoot complex data engineering challenges

Lead technical decisions and provide solutions across teams

Mentor junior team members and support knowledge sharing

Required Skills:

Key Skills & Requirements Strong hands-on experience in Data Engineering Data pipeline design development and maintenance ETL/ELT process implementation Data integration and migration Cloud-based data platforms Distributed computing frameworks Data quality assurance and monitoring Data storage and retrieval optimization Scalable data architecture Workflow optimization and performance improvement Cross-functional team collaboration Technical problem-solving and decision-making Team mentoring and leadership

Required Education:

Bachelors Degree in Mechanical Engineering (MBA is an added advantage).

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