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Data Engineering Lead Job Opening In India, India – Now Hiring ITQube LTD


Job description

  • 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

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Engineering Potential: Insight & Career Growth Guide


Real-time Data Engineering Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineering in India, India, highlighting market share and opportunities for professionals in Data Engineering roles.

178140 Jobs in India
178140
11964 Jobs in India
11964
Download Data Engineering Jobs Trends in India and India

Are You Looking for Data Engineering Lead Job?

Great news! is currently hiring and seeking a Data Engineering Lead to join their team. Feel free to download the job details.

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The Work Culture

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:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Data Engineering Lead Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in India. 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.

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Key qualifications for Data Engineering Lead typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Engineering Lead Job Success

ITQube LTD interview tips for Data Engineering Lead

Here are some tips to help you prepare for and ace your Data Engineering Lead job interview:

Before the Interview:

Research: Learn about the ITQube LTD's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Data Engineering Lead 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!

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