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Data Engineer - Informatica Job Opening In Queenstown – Now Hiring Synapxe


Job description

We are hiring a Data Engineer for data migration projects (Primarily utilizing AWS, IDMC, Databricks and Tableau)
Roles and 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
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 Power Center/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 Power Center/IDMC for optimizing data workflows
Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring 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 Power Center/IDMC environments
Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements
Create, manage, and optimize data visualization process using as Tableau, OAS or Power BI
Stay up-to-date with AWS, Databricks, Informatica Power Center/IDMC services, and data engineering best practices to recommend and implement new technologies and techniques
Requirements
Bachelor's or master's degree in computer science, data engineering, or a related field
Minimum 8 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica Power Center/IDM
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
Preferred Skills
Experience with big data technologies like Apache Spark and Hadoop on Databricks
Knowledge of data governance and data cataloguing tools, especially Informatica IDMC
Familiarity with data visualization tools like Tableau or Power BI
Knowledge of containerization and orchestration tools like Docker and Kubernetes
Understanding of DevOps principles for managing and deploying data pipelines
Experience with version control systems (e.g., Git) and CI/CD pipelines
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Required Skill Profession

Other General


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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 Queenstown, New Zealand, highlighting market share and opportunities for professionals in Data Engineer roles.

14175 Jobs in New Zealand
14175
383 Jobs in Queenstown
383
Download Data Engineer Jobs Trends in Queenstown and New Zealand

Are You Looking for Data Engineer Informatica Job?

Great news! is currently hiring and seeking a Data Engineer Informatica 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 Synapxe 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 New Zealand laws and regulations

What Is the Average Salary Range for Data Engineer Informatica Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Queenstown. 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 Data Engineer Informatica?

Key qualifications for Data Engineer Informatica 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 Data Engineer Informatica Job Success

Synapxe interview tips for Data Engineer   Informatica

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

Before the Interview:

Research: Learn about the Synapxe'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 Data Engineer Informatica interview at Synapxe, 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 Synapxe'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!

How to Set Up Job Alerts for Data Engineer Informatica Positions

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