Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from SaidGig
As a Data Engineer, you will play a crucial role in designing, developing, and optimizing robust data pipelines and warehousing solutions. Your expertise in MySQL, Python, ETL, and Data Warehousing will drive data-driven decision-making and enable impactful business insights.
Key Responsibilities:
- Design, build, and maintain scalable ETL pipelines to support data ingestion, transformation, and integration from multiple sources.
- Develop and optimize logical and physical data models within modern data warehousing environments.
- Collaborate closely with cross-functional teams to understand data requirements and deliver reliable data solutions.
- Monitor, troubleshoot, and enhance data infrastructure for optimal performance and scalability.
- Ensure data accuracy, consistency, and security across all platforms and solutions.
- Document technical processes, system designs, and data flows with clarity and precision.
- Leverage advanced SQL and Python scripting to automate data workflows and processes.
Qualifications:
- Expert-level proficiency in MySQL for complex querying, schema design, and performance tuning.
- Strong programming skills in Python for data manipulation and automation.
- Hands-on experience building and maintaining ETL pipelines in production environments.
- Demonstrated expertise with data warehousing concepts and best practices.
- Excellent written and verbal communication skills, with a focus on clear documentation and collaborative problem-solving.
- Proven ability to manage and prioritize tasks in a dynamic, remote work setting.
- Detail-oriented mindset with a commitment to delivering high-quality data solutions.
Preferred Qualifications:
- Experience with cloud-based data warehouse platforms (e.g., AWS Redshift, Snowflake, or Google BigQuery).
- Background in data modeling or data architecture.
- Familiarity with agile development methodologies.
Work Terms:
Contract position, fully remote.
Compensation:
$30 - $100 per hour.
Eligibility:
Open to applicants with the required skills and experience.
Source: SaidGig careers