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Senior Data Engineer Job Opening In Singapore, Singapore – Now Hiring Flintex Consulting Pte Ltd


Job description

Responsibilities Integrate data from multiple sources, such as databases, APIs, or streaming platforms, to provide a unified view of the data Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data Identify and resolve data quality issues, monitor data pipelines for errors, and implement data governance and data quality frameworks Enforce data security and compliance with relevant regulations and industry-specific standards Implement data access controls, encryption mechanisms, and monitor data privacy and security risks Optimise data processing and query performance by tuning database configurations, implementing indexing strategies, and leveraging distributed computing frameworks Optimize data structures for efficient querying and develop data dictionaries and metadata repositories Identify and resolve performance bottlenecks in data pipelines and systems Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders Document data pipelines, data schemas, and system configurations, making it easier for others to understand and work with the data infrastructure Monitor data pipelines, databases, and data infrastructure for errors, performance issues, and system failures Set up monitoring tools, alerts, and logging mechanisms to proactively identify and resolve issues to ensure the availability and reliability of data It would be a plus if he has software engineering background Requirements Bachelor's or master's degree in computer science, information technology, data engineering, or a related field Strong knowledge of databases, data structures, algorithms Proficiency in working with data engineering tools and technologies including knowledge of data integration tools (e.g., Apache Kafka, Azure IoTHub, Azure EventHub), ETL/ELT frameworks (e.g., Apache Spark, Azure Synapse), big data platforms (e.g., Apache Hadoop), and cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, Microsoft Azure) Expertise in working with relational databases (e.g., MySQL, PostgreSQL, Azure SQL, Azure Data Explorer) and data warehousing concepts.

Familiarity with data modeling, schema design, indexing, and optimization techniques is valuable for building efficient and scalable data systems Proficiency in languages such as Python, SQL, KQL, Java, and Scala Experience with scripting languages like Bash or PowerShell for automation and system administration tasks Strong knowledge of data processing frameworks like Apache Spark, Apache Flink, or Apache Beam for efficiently handling large-scale data processing and transformation tasks Understanding of data serialization formats (e.g., JSON, Avro, Parquet) and data serialization libraries (e.g., Apache Avro, Apache Parquet) is valuable Having experience in CI/CD and GitHub that demonstrates ability to work in a collaborative and iterative development environment Having experience in visualization tools (e.g. Power BI, Plotly, Grafana, Redash) is beneficial Preferred Skills & Characteristics Consistently display dynamic independent work habits, goal oriented, passionate in growth mindsets, possess a can do attitude, and self-motivated professional.

Self-driven and proactive in keeping up with new technologies and programming
degree / diploma
4-5 years
Senior Data Engineer

Required Skill Profession

Other General


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Unlock Your Senior Data Potential: Insight & Career Growth Guide


Real-time Senior Data Jobs Trends (Graphical Representation)

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Are You Looking for Senior Data Engineer Job?

Great news! is currently hiring and seeking a Senior Data Engineer to join their team. Feel free to download the job details.

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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 Flintex Consulting Pte Ltd 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 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.

What Are the Key Qualifications for Senior Data Engineer?

Key qualifications for Senior 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.

How Can I Improve My Chances of Getting Hired for Senior Data Engineer?

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Interview Tips for Senior Data Engineer Job Success

Flintex Consulting Pte Ltd interview tips for Senior Data Engineer

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

Before the Interview:

Research: Learn about the Flintex Consulting Pte Ltd'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.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

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 interview at Flintex Consulting Pte Ltd, 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 Flintex Consulting Pte Ltd'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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