Data Engineer

SaidGig

Remote · US Contract $30 – $100/hr 1mo ago

About the role

About

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.