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Protocol Intelligence
Data-driven signals on your job's competitivenessGeneralist Data Engineer role with broad tech requirements and mid-level profile increases competition.
Core data engineering skills are broadly transferable across industries.
Many mandatory technical skills but no explicit years, so moderate screening based on skills.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable ETL pipelines and data products across multi-cloud and distributed environments.
Investigate and resolve technical, procedural, and operational data issues to ensure pipeline reliability.
Develop flexible and efficient solutions addressing complex business problems using appropriate data engineering technologies.
Minimum Requirements
Proficiency in big data technologies (data lake, EMR, Glue) and data warehousing solutions (preferably Amazon Snowflake).
Strong programming skills in Python, Java, or Scala with OOP expertise.
Experience with relational and NoSQL databases, data modeling for OLAP and OLTP, and familiarity with ETL/ELT orchestration tools.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Deep understanding of data engineering patterns and modern data architecture frameworks (Data Mesh, Data Fabric).
Experience with containerization (Docker), orchestration (Kubernetes), and version control (Git).
Knowledge of data security best practices, streaming data technologies, and monitoring/logging for production data pipelines.