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Data Engineer - AWS Platform Job Opening In India, India – Now Hiring Genpact


Job description

<p><p><b>Description :</b><br/><br/>We are inviting applications for the role of Data Engineer Extensive hands-on experience working with data using SQL, Python (PySpark), building ETL in AWS & AWS Services like GLUE OR ATHENA<br/><br/>We are looking for an experienced AWS Data Engineering to join our team.

The successful candidate will be responsible for leading the development and implementation of data solutions on the AWS platform, working closely with our data analysts, BI Developers, data scientists, and software developers to build efficient and scalable data pipelines and systems.<br/><br/><b>Job Responsibility :</b><br/><br/></p><p>- Develop and design the architecture for data systems, including databases, data lakes, and data warehouses.<br/><br/>- Create, maintain, and optimize ETL (Extract, Transform, Load) processes to ensure efficient data flow and transformation.<br/><br/>- Collaborate closely with data scientists and analysts to understand data requirements and objectives.<br/><br/>- Lead data refinement and enrichment initiatives, ensuring the integrity and quality of datasets.<br/><br/>- Design, build, and maintain datasets using AWS and Dataiku platforms.<br/><br/>- Develop scalable data systems to support multiple projects, ensuring optimal performance and efficiency.<br/><br/>- Stay informed about industry best practices, emerging technologies, and advancements in data engineering.

Apply research findings to enhance data processes.<br/><br/>- Optimize data systems for performance, addressing bottlenecks and improving overall efficiency.<br/><br/>- Maintain thorough documentation of data processes, systems, and configurations for knowledge sharing and future reference.<br/><br/><b>Mandatory Skills :</b><br/><br/><b>Technical skills :</b><br/><br/></p><p>- Proficient in AWS services like S3, AWS Glue & Athena with hands-on experience in designing and implementing data solutions on the platform.</p><p><br/>- Expertise in using Dataiku for data preparation, integration, and advanced analytics.<br/><br/>- Strong programming skills in languages such as Python (PySpark), SQL or Scala.<br/><br/>- Experience with data modeling, ETL processes, and data warehousing concepts.<br/><br/>- Ability to optimize and tune data systems for performance and scalability.<br/><br/>- Strong understanding of cloud computing and optimization techniques.<br/><br/><b>Soft Skills :</b><br/><br/></p><p>- Excellent verbal, written and presentation communication skills.<br/><br/>- Strong oral and written communication skills required to effectively and concisely present key findings to senior management/ Client is a must.<br/><br/><b>Qualifications we seek in you! :</b><br/><br/></p><p>- B.E. / B.Tech.

/ MCA in Computer Science, Engineering, or related field<br/><br/>- 4+ years of industry experience<br/><br/>- Advanced Certification/ Coursework in AWS / SQL/ Python (PySpark) Programming (added advantage)</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


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

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Are You Looking for Data Engineer AWS Platform 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 Genpact 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 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 Engineer AWS Platform 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 Engineer AWS Platform Job Success

Genpact interview tips for Data Engineer   AWS Platform

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Before the Interview:

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

Other Openings

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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 Data Engineer AWS Platform interview at Genpact, 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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