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AWS Data Engineer - SQL/Python Job Opening In Pune – Now Hiring Rapsys Technologies


Job description

<p><p><b>AWS Data Engineer </b></p><p><br/></p><p>We are seeking an experienced AWS Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions on AWS cloud platform.<br/><br/>The ideal candidate will have strong expertise in AWS services, data processing frameworks, and modern data engineering practices to support our data-driven initiatives.<br/><br/><b>Location :</b> Pune, India.<br/><b><br/></b></p><p><p><b>Work Mode :</b> Work from anywhere.</p><p><br/><b>Role :</b> AWS Data Engineer Remote.</p><br/><b>What You'll Do :</b></p><p><b><br/></b>- Design and implement robust data pipelines using AWS services.<br/><br/></p><p>- Build and optimize data warehouses and data lakes on AWS.<br/><br/></p><p>- Develop ETL/ELT processes using tools like Glue, Lambda, and EMR.<br/><br/></p><p>- Monitor and troubleshoot data pipeline performance.<br/><br/></p><p>- Collaborate with data scientists and analysts on data requirements.<br/><br/></p><p>- Ensure data security and compliance standards.<br/><br/><b>What We're Looking For :</b></p><p><p><b><br/></b></p>- 6+ years of experience in data engineering.<br/><br/></p><p>- Strong expertise in AWS services (S3, Redshift, Glue, Lambda).<br/><br/></p><p>- Proficiency in Python, SQL, and big data technologies.<br/><br/></p><p>- Experience with data modeling and warehouse design.<br/><br/></p><p>- Knowledge of streaming technologies like Kinesis or Kafka.<br/><br/></p><p>- Strong problem-solving and analytical skills.<br/><br/>Ready to make an impact?

Apply now and let's build the future of data together!</p><br/></p> (ref:hirist.tech)

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 Pune, India, highlighting market share and opportunities for professionals in AWS Data roles.

161613 Jobs in India
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4222 Jobs in Pune
4222
Download Aws Data Jobs Trends in Pune and India

Are You Looking for AWS Data Engineer SQL/Python 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 Rapsys Technologies 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

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The average salary range for a varies, but the pay scale is rated "Standard" in Pune. 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 SQL/Python?

Key qualifications for AWS Data Engineer SQL/Python 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 SQL/Python Job Success

Rapsys Technologies interview tips for AWS Data Engineer   SQL/Python

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

Before the Interview:

Research: Learn about the Rapsys Technologies'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.

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

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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.

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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 AWS Data Engineer SQL/Python interview at Rapsys Technologies, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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