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AWS Data Engineer Job Opening In Noida – Now Hiring Coforge


Job description

We are seeking a skilled Data Engineer (AWS- Scala Mandatory) to join our dynamic team.

This role involves building and maintaining robust data pipelines, designing scalable databases, and collaborating with stakeholders to deliver high-quality data solutions.
Responsibilities
- Build and maintain data pipelines using AWS Glue, Python, EMR/Spark, and Kafka/Kinesis streaming.
- Design and develop relational databases, preferably using Aurora Postgres.
- Write complex SQL queries and stored procedures.
- Troubleshoot and resolve data quality issues.
- Collaborate with stakeholders to understand data requirements and develop effective solutions.
- Document data pipelines, workflows, and procedures.
-
Required Skills
- Strong understanding of cloud technologies (AWS preferred), including services like Aurora/RDS, Glue, Lambda, EC2, S3, EMR, Step Functions, CloudTrail, and CloudWatch.
- Hands-on experience building data pipelines using Glue, Python, EMR/Spark, and Kafka/Kinesis.
- Extensive experience in relational database design and development, especially with Aurora Postgres.
- Proficiency in Postgres SQL, including writing complex queries and stored procedures.
- Excellent analytical and problem-solving skills.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your AWS Data Potential: Insight & Career Growth Guide


Real-time AWS Data 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 AWS Data in Noida, India, highlighting market share and opportunities for professionals in AWS Data roles.

168457 Jobs in India
168457
1850 Jobs in Noida
1850
Download Aws Data Jobs Trends in Noida and India

Are You Looking for AWS Data Engineer Job?

Great news! is currently hiring and seeking a AWS 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: .

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 Coforge 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 Positions?

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

Key qualifications for AWS Data Engineer 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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To improve your chances of getting hired for AWS Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free 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.

Interview Tips for AWS Data Engineer Job Success

Coforge interview tips for AWS Data Engineer

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

Before the Interview:

Research: Learn about the Coforge'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.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

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.

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.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your AWS Data Engineer interview at Coforge, 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 Coforge'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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