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Senior Snowflake Data Engineer Job Opening In WorkFromHome – Now Hiring Parser


Job description

Snowflake Data Engineer

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This position offers you the opportunity to join a fast-growing technology organization that is redefining productivity paradigms in the software engineering industry.

Thanks to our flexible, distributed model of global operation and the high caliber of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people.

If you want to accelerate your career working with like-minded subject matter experts, solving interesting problems and building the products of tomorrow, this opportunity is for you.

As a Snowflake Data Engineer at Parser, you will be part of our team and work on challenging engineering projects.

You will help improve data processes and tooling, automating workloads and pipelines wherever possible.

Moreover, we expect that you provide our client with your professional expertise, not only hands‑on but also for technically improving the “under development” data framework.

Responsibilities

  • Data Pipeline Design, Implementation, Optimization and productionization in snowflake
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Create and maintain datasets that support the needs and products
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re‑designing infrastructure for greater scalability,
  • Implementing processes oriented to improve quality, consistency, and reliability through the various pipelines (monitoring, retry, failure detection)
  • A high‑level programming language used in Data applications (Python, Scala, Go, R, Java, etc)
  • Snowflake
  • SQL
  • DBT
  • Oracle
  • Airflow
  • Git
  • AWS + Terraform

What you’ll bring to us

  • MS or BS in CS, Engineering, Math, Statistics, or a related field or equivalent practical experience in data engineering.

  • Proven track record within a Data Engineer or engineering environment where you have developed and deployed software / pipeline
  • 3-5 years of experience working in data engineering using Snowflake.

  • 2-4 years of experience working in data engineering using Python or any other language programming known for data engineering (Scala, Go, R, Java, etc).

  • Experience using the data warehousing tool: Snowflake
  • Understanding about several tools for data transformation and pipelining, like Airflow, DBT, Spark, Pandas
  • Cloud experience: Proficient in AWS, with expertise in data and analytics services such as Redshift, Kinesis, Glue, Step Functions, Sagemaker, RDS, etc
  • Knowledge to build processes and infrastructure to manage lifecycle of datasets: data structures, metadata, dependency and workload management.

  • You have worked in an Agile environment or open to adopting this culture.

Extra

  • Experience with Technologies like Kubeflow, EKS, Docker
  • Experience with stream‑processing systems: Kafka, Storm, Spark‑Streaming, etc.

  • Statistical analysis and modeling experience
  • Experience with machine learning algorithms
  • Data‑driven approach to problem solving
  • The ability to visualize and communicate complex concepts

Benefits

  • The chance to work in innovative projects with leading brands, that use the latest technologies that fuel transformation.

  • The opportunity to be part of an amazing, multicultural community of tech experts.

  • The opportunity to grow and develop your career with the company.

  • A flexible and remote working environment.

Come and join our #ParserCommunity.

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Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

IT Services and IT Consulting

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Colombia $12,000.00-$24,000.00 1 month ago

Bogota, D.C., Capital District, Colombia 6 days ago

Bogota, D.C., Capital District, Colombia 8 months ago

Bogota, D.C., Capital District, Colombia 2 weeks ago

#J-18808-Ljbffr

Required Skill Profession

Bases De Datos, Analítica Y Bi


  • Job Details

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Unlock Your Senior Snowflake Potential: Insight & Career Growth Guide


Real-time Senior Snowflake 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 Senior Snowflake in WorkFromHome, Colombia, highlighting market share and opportunities for professionals in Senior Snowflake roles.

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Download Senior Snowflake Jobs Trends in Workfromhome and Colombia

Are You Looking for Senior Snowflake Data Engineer Job?

Great news! is currently hiring and seeking a Senior Snowflake 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 Parser 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 Colombia laws and regulations

What Is the Average Salary Range for Senior Snowflake Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. 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 Snowflake Data Engineer typically include Bases De Datos, Analítica Y 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 Snowflake Data Engineer Job Success

Parser interview tips for Senior Snowflake Data Engineer

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

Before the Interview:

Research: Learn about the Parser'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.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Final Thought:

To prepare for your Senior Snowflake Data Engineer interview at Parser, 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 Parser'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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