Freelance Snowflake Data Engineer (dbt, Power BI, Python, SQL)-Remote

Company Description

ThreatXIntel is a startup cyber security company focused on protecting businesses and organizations from cyber threats. Our experienced team offers services including cloud security, web and mobile security testing, cloud security assessment, and DevSecOps. We provide customized, affordable solutions tailored to our clients' specific needs, regardless of their size. Our proactive approach to security involves continuous monitoring and testing to identify vulnerabilities before exploitation. Our mission is to deliver exceptional cyber security services to give our clients peace of mind.

Role Description

Snowflake

Key Responsibilities

• Design, develop, and maintain

  data models and pipelines

  in

  dbt

  and

  Snowflake

  .
• Write optimized

  SQL

  queries for data extraction, transformation, and analysis.
• Build and automate

  ETL workflows

  for reliable data delivery.
• Create interactive

  Power BI dashboards

  and visual reports to communicate key business metrics.
• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
• Utilize

  Python

  for advanced data manipulation, automation, and integration tasks.
• Ensure data quality, consistency, and security across systems.

Required Skills & Qualifications

• Strong proficiency in

  SQL

  and relational databases.
• Hands-on experience with

  Snowflake

  for data warehousing.
• Experience using

  dbt

  for data transformation and modeling.
• Expertise in building dashboards and reports with

  Power BI

  .
• Proficiency in

  Python

  for scripting, data wrangling, and API integration.
• Understanding of modern

  data architecture

  and

  ETL best practices

  .
• Excellent communication skills and ability to work independently in a remote freelance setup.

Preferred Qualifications

• Experience with version control (e.g., Git).
• Knowledge of cloud platforms (AWS, Azure, or GCP).
• Familiarity with data governance and performance optimization.