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Senior Data Engineer (GCP + AWS) Job Opening In Singapore, Singapore – Now Hiring PALO IT


Job description

Overview

PALO IT is a global technology consultancy that crafts tech as a force for good.

We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit.

We do the right thing, and we do it right.

We are proud to be a World Economic Forum New Champion, and a B Corp-certified company.

We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities); robust and resilient (100% independent and 0 debt); entrepreneurs and passionate experts ; positive, courageous, caring, doers and committed to excellence .

Role

The projects involve building and scaling cloud-native data pipelines to handle ingestion, transformation, quality assurance, enrichment, and advanced analytics use cases across multiple industries.

We are seeking a Senior Data Engineer to modernize and enhance data platforms, with strong expertise in AWS and GCP .

Responsibilities

  • Design and implement scalable ETL/ELT pipelines on AWS and GCP.

  • Migrate existing on-premises and hybrid workloads into cloud-native services.

  • Build reusable data frameworks for ingestion, quality monitoring, and transformations.

  • Implement robust error handling, recovery mechanisms, and observability into pipelines.

  • Partner with Data Scientists and Architects to enable predictive/GenAI use cases.

Must Have Experience

  • 7+ years in data engineering with end-to-end pipeline design and implementation.

  • AWS expertise : S3, Glue, Lambda, Step Functions, EMR, Athena, Fargate, AWS Batch.

  • GCP expertise : BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Functions.

  • Strong Python and SQL development skills.

  • Proficiency with orchestration tools like Airflow or Cloud Composer.

  • Shell scripting (Linux).

  • Familiarity with data formats (Parquet, ORC, JSON, Avro) and modern storage patterns.

Good to Have

  • Experience integrating AWS GCP cross-cloud pipelines.

  • Knowledge of containerization (Docker, Kubernetes, GKE/EKS).

  • Domain knowledge in Financial Services, Healthcare, Maritime, or Retail .

Equal Opportunity

PALO IT Singapore is an equal opportunity employer.

Employment decisions will be based on merit, qualifications and abilities.

Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

#J-18808-Ljbffr

Required Skill Profession

Database, Analytics & Bi


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


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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 PALO IT 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 Singapore laws and regulations

What Is the Average Salary Range for Senior Data Engineer (GCP + AWS) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. 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 Senior Data Engineer (GCP + AWS) typically include Database, Analytics & Bi 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 Senior Data Engineer (GCP + AWS) Job Success

PALO IT interview tips for Senior Data Engineer (GCP + AWS)

Here are some tips to help you prepare for and ace your Senior Data Engineer (GCP + AWS) job interview:

Before the Interview:

Research: Learn about the PALO IT'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.

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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 Senior Data Engineer (GCP + AWS) interview at PALO IT, 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 PALO IT'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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