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AWS Data Engineer Job Opening In vapi – Now Hiring TerraGiG


Job description

Role

AWS Data Engineer

Experience

8+ years

Location

Remote

Time Zone

UK

Duration

2 months (Extendable)


Job Description

  • Design, development, and implementation of performant ETL pipelines using python API (pySpark) of Apache Spark on AWS EMR.

  • Writing reusable, testable, and efficient code
  • Integration of data storage solutions in spark – especially with AWS S3 object storage.

    Performance tuning of pySpark scripts.

  • Need to ensure overall build delivery quality is good and on-time delivery is done at all times.

  • Should be able to handle meetings with customers with ease.

  • Need to have excellent communication skills to interact with the customer.

  • Be a team player and willing to work in an onsite-offshore model, mentor other folks in the team (onsite as well as offshore)

*5+ years of experience in programming with python.

Strong proficiency in python

*Familiarity with functional programming concepts

*3+ years of hands-on experience in developing ETL data pipelines using pySpark on AWS EMR

*Experience in building pipelines and data lake for large enterprises on AWS

*Good understanding of Spark’s Dataframe and API

*Experience in configuring EMR clusters on AWS

*Experience in dealing with AWS S3 object storage from Spark.

*Experience in troubleshooting spark jobs.

Knowledge of monitoring spark jobs using Spark UI

*Performance tuning of Spark jobs.

*Understanding fundamental design principles behind business processes

Process Knowledge and Expertise:

  • Demonstrated experience in change management processes, including understanding of governance frameworks and preparation of supporting artefacts required for approvals.

  • Strong clarity on the path to production, with hands-on involvement in deployments, testing cycles, and obtaining business sign-offs.

  • Proven track record in technical solution design, with the ability to provide architectural guidance and support implementation strategies.

Databricks-Specific Skills:

  • Experience in at least developing and delivering end-to-end Proof of Concept (POC) solutions covering the below:
  • Basic proficiency in Databricks, including creating jobs and configuring clusters.

  • Exposure to connecting external data sources (e.g., Amazon S3) to Databricks.

  • Understanding of Unity Catalog and its role in data governance.

  • Familiarity with notebook orchestration and implementing modular code structures to enhance scalability and maintainability.

Important Pointers:

  • Candidates must have actual hands-on work experience , not just home projects or academic exercises.

  • Profiles should clearly state how much experience they have in each skill area , as this helps streamline the interview process.

  • Candidates must know their CV/profile inside out , including all projects and responsibilities listed.

    Any ambiguity or lack of clarity on the candidate’s part can lead to immediate rejection, as we value accuracy and ownership.

  • They should be able to confidently explain their past experience, challenges handled, and technical contributions.

Required Skill Profession

Other General


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

170984 Jobs in India
170984
859 Jobs in Vapi
859
Download Aws Data Jobs Trends in Vapi 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 TerraGiG 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 vapi. 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 AWS Data Engineer typically include Other General 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 Job Success

TerraGiG 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 TerraGiG'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.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

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