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Cloud Data Engineer Job Opening In Singapore, Singapore – Now Hiring Cybervault


Job description

Responsibilities
Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake.

Integrate Informatica IDMC for metadata management and data cataloging.


Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.


Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.


Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.


Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements.

Utilize Informatica IDMC for optimizing data workflows.


Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring 1 | P a g e compliance with data privacy regulations.

Employ Informatica IDMC for data governance and compliance.


Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.


Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.


Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.


Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.


Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.


Qualifications
Bachelor’s or master’s degree in computer science, data engineering, or a related field.


Minimum 7 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.


Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.


Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.


Strong knowledge of SQL and NoSQL databases.


Familiarity with data modeling and schema design.


Excellent problem-solving and analytical skills.


Strong communication and collaboration skills.


AWS certifications (e.g., AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.


Good to have skills: Informatica Cloud, Databricks and AWS.


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Required Skill Profession

Other General


  • Job Details

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Unlock Your Cloud Data Potential: Insight & Career Growth Guide


Real-time Cloud Data Jobs Trends (Graphical Representation)

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Are You Looking for Cloud Data Engineer 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 Cybervault 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

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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 Cloud 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 Cloud Data Engineer Job Success

Cybervault interview tips for Cloud Data Engineer

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

Before the Interview:

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

Other Openings

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Final Thought:

To prepare for your Cloud Data Engineer interview at Cybervault, 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 Cybervault'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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