Data Engineer Talent Pool
@ Launchpad Technologies Inc.

Hybrid
$120,000
Hybrid
Full Time
Posted 23 days ago

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XXXXXXXXX XXXXXXXXX XXXXXXXXXX****** @launchpadtech.com
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Job Details

About the Data Engineer Talent Pool

Do you build scalable data pipelines and enable powerful analytics? Join our Talent Community and be considered for future Data Engineering opportunities with top-tier global clients.

Key Responsibilities

  • Design and maintain data pipelines, ETL processes, and data ingestion.
  • Perform data modeling, database architecture, and performance optimization.
  • Troubleshoot issues and collaborate with cross-functional teams.
  • Communicate effectively in written and verbal English.
  • Apply problem-solving and analytical thinking to challenges.

Experience & Technologies

  • Proficiency in Python and SQL.
  • Experience with data warehousing platforms (Redshift, Synapse, BigQuery).
  • Knowledge of relational databases (PostgreSQL, SQL Server, MySQL).
  • Familiarity with cloud data solutions (AWS, Azure, GCP).
  • Understanding of data lakes, NoSQL solutions (MongoDB).
  • Experience in data governance, security, and compliance.
  • Experience with real-time processing frameworks (Kafka, Spark).

Our Work Culture

This opportunity is 100% remote, offering a people-first culture, excellent compensation in US Dollars, hardware setup for home office, global team collaboration with prominent brands across North America, Europe, and Asia, training allowances, and generous personal time off (PTO) for vacation, study, and personal time.

Key skills/competency

  • Data Pipelines
  • ETL
  • SQL
  • Python
  • Cloud
  • Data Warehousing
  • NoSQL
  • Data Modeling
  • Analytics
  • Communication
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How to Get Hired at Launchpad Technologies Inc.

🎯 Tips for Getting Hired

  • Tailor your resume: Highlight data pipeline and ETL experience.
  • Emphasize technical skills: Include Python, SQL, and cloud certifications.
  • Research Launchpad Technologies Inc.: Understand company culture and client portfolio.
  • Prepare examples: Showcase past data engineering project successes.

📝 Interview Preparation Advice

Technical Preparation

Review ETL best practices.
Practice SQL query optimization.
Refresh Python coding skills.
Study cloud data solutions.

Behavioral Questions

Describe teamwork experiences.
Explain problem-solving examples.
Discuss remote work challenges.
Share conflict resolution strategies.

Frequently Asked Questions