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Data Engineer Job Opening In Dublin 3 – Now Hiring Tiger Resourcing Group


Job description

Data Engineer - Dublin

Data eng, python, fullstack eng exp,High proficiency in using Python or Scala,Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL
to build Big Data products & platforms.

Experience in building and deploying production-level
data-driven applications and data processing workflows/pipelines and/or
implementing machine learning systems at scale in Java, Scala, or Python and
deliver analytics involving all phases like data ingestion, feature
engineering, modeling, tuning, evaluating, monitoring, and presenting,
Experience in cloud technologies like Databricks/AWS/Azure

Requirements

We are looking for an innovative data engineer who will lead the
technical design and development of an Analytic Foundation.

The Analytic
Foundation is a suite of individually commercialized analytical capabilities
that also includes a comprehensive data platform.

These services will be
offered through a series of APIs that deliver data and insights from various
points along a central data store.

This individual will partner closely with
other areas of the business to build and enhance solutions that drive value for
our customers.

Position Responsibilities:

As a Data Engineer within Advanced Analytics team, you will:

• Play a large role in the implementation of complex features

• Push the boundaries of analytics and powerful, scalable
applications

• Build and maintain analytics and data models to enable
performant and scalable products

• Ensure a high-quality code base by writing and reviewing
performant, well-tested code

• Mentor junior engineers and teammates

• Drive innovative improvements to team development processes

• Partner with Product Managers and Customer Experience
Designers to develop a deep understanding of users and use cases and apply that
knowledge to scoping and building new modules and features

• Collaborate across teams with exceptional peers who are
passionate about

Qualifications:

• 4+ years of full stack engineering experience in an agile
production environment

• Experience leading the design and implementation of large,
complex features in full-stack applications

• Ability to easily move between business, data management, and
technical teams; ability to quickly intuit the business use case and identify
technical solutions to enable it

• Experience leveraging open source tools, predictive analytics,
machine learning, Advanced Statistics, and other data techniques to perform
analyses

• High proficiency in using Python or Scala, Spark, Hadoop
platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big
Data products & platforms

• Experience in building and deploying production-level
data-driven applications and data processing workflows/pipelines and/or
implementing machine learning systems at scale in Java, Scala, or Python and
deliver analytics involving all phases like data ingestion, feature
engineering, modeling, tuning, evaluating, monitoring, and presenting

• Experience in cloud technologies like Databricks/AWS/Azure

• Strong technologist with proven track record of learning new
technologies and frameworks

• Customer-centric development approach

• Passion for analytical / quantitative problem solving

• Experience identifying and implementing technical improvements
to development processes

• Collaboration skills with experience working with people
across roles and geographies

• Motivation, creativity, self-direction, and desire to thrive
on small project teams

• Superior academic record with a degree in Computer Science or
related technical field

• Strong written and verbal English communication skills

Required Skill Profession

Computer Occupations


  • Job Details

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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 Dublin 3, Ireland, highlighting market share and opportunities for professionals in Data Engineer roles.

7714 Jobs in Ireland
7714
3574 Jobs in Dublin 3
3574
Download Data Engineer Jobs Trends in Dublin 3 and Ireland

Are You Looking for Data Engineer Job?

Great news! is currently hiring and seeking a 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 Tiger Resourcing Group 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 Ireland laws and regulations

What Is the Average Salary Range for Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Dublin 3. 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?

Key qualifications for Data Engineer typically include Computer Occupations 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 Data Engineer?

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Interview Tips for Data Engineer Job Success

Tiger Resourcing Group interview tips for Data Engineer

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

Before the Interview:

Research: Learn about the Tiger Resourcing Group'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 interview at Tiger Resourcing Group, 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 Tiger Resourcing Group'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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