Talantix.io
SKELAR•13.03.26
AI SCORE 8.5

Remote Data Engineer - Google Cloud & ETL Specialist

$90K–$120K/year
RemoteData Engineering
Google Cloud•BigQuery•SQL•Python•Airflow•Docker•Kubernetes•ETL•Data Modeling

About the Role

We are seeking a talented Remote Data Engineer to join our dynamic team. In this role, you will leverage your expertise in data engineering to build and optimize data pipelines, ensuring seamless data flow and accessibility for our analytics and reporting needs. As a Remote Data Engineer, you will work with cutting-edge technologies including Google Cloud, BigQuery, and Python to support our innovative projects in the fashion industry.

What You'll Do

  • Design, develop, and maintain ETL pipelines to facilitate data integration and transformation.
  • Utilize Google Cloud and BigQuery for data storage and analysis, ensuring optimal performance and scalability.
  • Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs.
  • Implement data modeling techniques to enhance data quality and usability.
  • Monitor and troubleshoot data workflows to ensure reliability and efficiency.
  • Contribute to the development of data governance policies and best practices.
  • Participate in code reviews and provide mentorship to junior team members.
  • Stay updated with industry trends and emerging technologies in data engineering.

Requirements

  • 3+ years of experience as a Data Engineer or in a similar role.
  • Proficiency in SQL and experience with data modeling and ETL processes.
  • Hands-on experience with Google Cloud Platform, especially BigQuery.
  • Strong programming skills in Python and familiarity with data orchestration tools like Airflow.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Excellent problem-solving skills and ability to work collaboratively in a team environment.
  • Strong communication skills in English, both written and verbal.

Nice to Have

  • Experience in the fashion industry or similar sectors.
  • Knowledge of AWS services and data warehousing solutions.
  • Familiarity with data visualization tools.

What We Offer

  • Opportunity to work in a dynamic and impactful environment.
  • Participation in innovative projects in the fashion industry.
  • Collaboration with a strong team of professionals.
  • Contributing to charitable initiatives through the SKELAR foundation.
  • Flexible working hours and a remote-first culture.
  • Professional development opportunities and support for continuous learning.
  • Competitive salary and benefits package.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Remote Data Engineer position offers a unique opportunity to work with cutting-edge technologies in a dynamic environment. The role emphasizes collaboration and innovation.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in designing and implementing ETL processes using tools like Apache Airflow and Google Cloud Dataflow, ensuring data integrity and efficiency in data pipelines.

→

Self-motivated and disciplined to thrive in a fully remote work environment, demonstrating strong organizational skills and the ability to manage multiple projects independently.

→

Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes, enabling smooth deployment and scaling of data applications in a cloud environment.

Learning Resources

→Google Cloud BigQuery Documentationguide
→Data Engineering on Google Cloud Platform Specializationcourse
→ETL Concepts and Toolsarticle

Career Path

Remote Data Engineer - Google Cloud & ETL Specialist(Now)→Data Engineering Team Lead(1-2 years)→Data Architect(3-5 years)

Market Overview

Market Size 2024
$63B
Annual Growth
23.5%
AI Adoption
45%
Investment
+150%
Labour Demand
+30%
Avg Salary
$120K

Skills & Requirements

Required
Google CloudBigQuerySQL
Growing in Demand
DataOpsApache KafkaMachine Learning
Declining
Hadoop MapReduceTraditional ETL Tools

Domain Trends

Increased Adoption of Serverless Architectures
Organizations are moving towards serverless computing, with a projected increase of 40% in serverless solutions adoption by 2025, reducing operational overhead.
Shift Towards Real-Time Data Processing
The demand for real-time analytics is expected to grow by 35% as businesses seek to leverage data for immediate decision-making.
Focus on Data Privacy and Compliance
With regulations tightening, 60% of companies are investing in data governance frameworks to ensure compliance with GDPR and other regulations.

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