
Freelance Data Engineer – Python, SQL, AWS
2 weeks ago
Company Description
ThreatXIntel is a startup cyber security company that offers customized, affordable solutions to protect businesses and organizations from cyber threats. The company provides services like cloud security, web and mobile security testing, and DevSecOps. ThreatXIntel takes a proactive approach to security by continuously monitoring and testing clients' digital environments to identify vulnerabilities before they can be exploited.
Role Description
We are seeking an experienced Freelance Data Engineer with expertise in Python, SQL, Linux/Bash, PySpark, AWS, and Databricks to design, build, and optimize large-scale data pipelines. The consultant will collaborate with internal teams and clients to ensure robust, scalable, and high-performance data solutions.
Key Responsibilities
- Design, develop, and maintain ETL/ELT pipelines using PySpark, AWS, and Databricks.
- Perform data profiling, validation, and transformation using Python and SQL.
- Optimize and monitor workflows for performance, scalability, and cost efficiency.
- Build automation scripts using Linux and Bash for data pipeline orchestration.
- Collaborate with analytics teams to surface trustworthy KPIs and metrics.
- Troubleshoot and resolve data inconsistencies, configuration issues, and pipeline errors.
- Work closely with cross-functional teams (analysts, product managers, engineers) to define and implement data requirements.
- Ensure thorough documentation and knowledge sharing across stakeholders.
Qualifications
- 5+ years of data engineering experience with a strong background in Python and SQL.
- Proven expertise in PySpark, AWS services, and Databricks.
- Proficiency in Linux/Bash scripting for automation and data operations.
- Hands-on experience with ETL/ELT pipelines and large-scale integrations.
- Familiarity with Agile and CI/CD practices.
- Strong problem-solving and communication skills, with experience in client-facing roles.
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