Back
Metro mid-level generalist data role with broad stack increases applicant competition despite small-company brand.
Core big-data, ETL, and cloud skills are highly transferable across industries.
Explicit 5+ years plus many mandatory big-data, cloud, and programming skills create strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and maintain scalable data pipelines for large volumes of business data, including ETL processes integrating diverse data sources (web scraping, APIs, third-party providers).
Implement data quality checks, monitoring, and data security/privacy measures to ensure data accuracy and compliance.
Collaborate with data scientists and backend teams to deploy machine learning models in production and design APIs for data access.
5+ years of experience in data engineering roles.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Strong programming skills in Python, Scala, and/or Java; expertise in SQL and NoSQL databases (MongoDB, Cassandra).
Proficiency with big data technologies (Apache Spark, Hadoop, Kafka), cloud platforms (AWS, GCP, or Azure), and experience with data warehousing and ETL processes.
Experienced in designing and optimizing scalable data architectures and pipelines for business data analytics and machine learning.
Hands-on with big data ecosystems and cloud-native data services in production environments.
Knowledgeable about data privacy regulations and capable of implementing compliant data security measures in B2B or sales intelligence contexts.