- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Lead Data Engineer.
Urgent! Lead Data Engineer Job Opening In Udaipur – Now Hiring ITQube LTD
Looking for a Data Engineer to join our engineering will contribute directly to the design, automation, and optimization of our data processes, primarily developing solutions in Python within the AWS cloud ecosystem, including Lambda, Glue, Redshift, and other key services.
The role also involves working with infrastructure as code (Terraform), Git-based version control, and designing scalable data architectures.
The ideal candidate has solid data engineering knowledge, a passion for automation, experience working with large volumes of data, and the ability to proactively propose technical and architectural improvements.
Responsibilities:
Design, develop, and maintain efficient ETL processes using Python, SQL, AWS Glue, and Redshift.
Automate data flows and integrations using AWS Lambda and other serverless services.
Propose improvements and optimizations to existing pipelines, prioritizing performance, scalability, and maintainability.
Collaborate on the design of scalable and resilient data architectures in AWS.
Develop and manage infrastructure as code using Terraform.
Actively participate in code reviews and collaborative version control workflows using Git.
Document technical solutions and promote best practices in data engineering.
Ensure that data processing pipelines can handle large-scale datasets (Big Data).
Who we’re looking for: Technical Requirements:
Programming Languages: Python – 3+ years of experience (Intermediate to advanced level) o SQL – 3+ years of experience, capable of working with complex data models
Large-scale data processing:
Experience with PySpark or Big Data environments – 1–2+ years (preferred)
Familiarity with distributed processing and performance optimization for high-volume data pipelines
AWS Technologies: Lambda, Glue, Redshift, S3 – 2–3 years of hands-on experience
Experience designing ETL workflows using native AWS services
Proactive mindset with a drive to propose and implement improvements
Analytical thinker with the ability to identify bottlenecks and performance issues.
Effective collaborator with both technical teams and non-technical stakeholders
Strong documentation and technical communication skills Nice to have (not mandatory):
Experience with monitoring and observability tools for data pipelines (CloudWatch, logging, alerting), Knowledge of event-driven architecture design
Familiarity with orchestration tools like Apache
Experience with automated testing for data pipelines
Background in Fintech or experience handling financial datasets
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Lead Data Potential: Insight & Career Growth Guide
Real-time Lead Data Jobs Trends in Udaipur, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Lead Data in Udaipur, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 318059 jobs in India and 2134 jobs in Udaipur. This comprehensive analysis highlights market share and opportunities for professionals in Lead Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! ITQube LTD is currently hiring and seeking a Lead Data Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Lead Data Engineer Jobs Udaipur.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at ITQube LTD adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Lead Data Engineer Jobs India varies, but the pay scale is rated "Standard" in Udaipur. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Lead Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Lead Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Lead Data Engineer interview at ITQube LTD, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the ITQube LTD's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Lead Data Engineer is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!