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AWS Data Engineer - Data Innovation Lead Job Opening In India, India – Now Hiring Infarsight


Job description

About:

At Infarsight, we simplify complex operations across Finance, HR, Operations, and Supply Chain using platforms like Task Sight, Trip Sight, and Fleet Sight.

Our engineering teams build scalable software, and our data solutions unlock real-time insights to help businesses move faster and smarter.

Role Overview:

As an AWS Data Engineer, you’ll design and build cloud-native data pipelines, collaborate across teams, and lead innovation in data engineering practices.

Your work will directly impact our ability to deliver high-quality, secure, and scalable data solutions.

Key Responsibilities:

  • Develop, deploy, and maintain automated, test-driven data pipelines in AWS.
  • Collaborate with data scientists, architects, and business teams to source and format data.
  • Evaluate and implement emerging batch and streaming technologies.
  • Define best practices and mentor ETL developers transitioning to cloud data engineering.
  • Ensure data integrity, security, and compliance across platforms.
  • Enhance CI/CD pipelines and contribute to DataOps improvements.

Required Qualifications:

  • Bachelor’s degree with 10+ years in application development.
  • 4+ years in big data and cloud platforms (AWS, Azure, GCP).
  • Proficiency in Python, SQL, Scala, or Java.
  • Experience with distributed computing tools (Hadoop, Spark, Kafka, etc.).
  • Strong background in real-time streaming, NoSQL (MongoDB, Cassandra), and data warehousing (Redshift).
  • UNIX/Linux expertise and Agile engineering practices.
  • SQL optimization and PySpark experience.
  • Familiarity with orchestration tools (Airflow, KubeFlow, AWS Step Functions).

Preferred Skills:

  • Experience with machine learning, API development, and Data-as-a-Service platforms.

Required Skill Profession

Computer Occupations


  • Job Details

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Are You Looking for AWS Data Engineer Data Innovation Lead Job?

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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 Infarsight 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 AWS Data Engineer Data Innovation 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.

What Are the Key Qualifications for AWS Data Engineer Data Innovation Lead?

Key qualifications for AWS Data Engineer Data Innovation 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 AWS Data Engineer Data Innovation Lead Job Success

Infarsight interview tips for AWS Data Engineer   Data Innovation Lead

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

Before the Interview:

Research: Learn about the Infarsight'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.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

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

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

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

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your AWS Data Engineer Data Innovation Lead interview at Infarsight, 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 Infarsight'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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