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Protocol Intelligence
Data-driven signals on your job's competitivenessRemote role, popular Data Engineer title, but senior requirement and niche dbt/AWS skills moderate competition.
Core data engineering skills (SQL, dbt, Python, AWS) are highly transferable across industries.
Explicit 8+ years requirement plus mandatory dbt, AWS, SQL, and Python skills increases filter strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows leveraging AWS cloud services.
Build and manage data transformation frameworks using dbt and develop high-performance data models with complex SQL optimization.
Collaborate with business stakeholders and cross-functional teams to deliver reliable, secure, and governed data solutions and mentor junior engineers.
Minimum Requirements
8+ years of hands-on experience in data engineering or analytics engineering roles.
Advanced SQL skills with expertise in data modeling, query optimization, and working on large-scale databases.
Strong experience with dbt, AWS (S3, Glue, Lambda, Redshift, Athena), and Python (including Pandas, NumPy).
Flexible work location (Flexible / Hybrid / Remote) with no strict onsite requirement mentioned.
Ideal Candidate Profile
Experienced in designing cloud-native, scalable data platforms using AWS cloud services and modern data engineering best practices.
Skilled in managing complex data transformation projects with dbt and implementing CI/CD pipelines for data workflows.
Able to work cross-functionally with business and engineering teams, lead technical discussions, and mentor junior team members effectively.