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Data Engineer (Builder)

  • Country: United States
  • Advertiser: Tech Providers Inc.
  • Category: I.T. & Communications

Description:

  1. Data Engineer (Builder)
Experience Needed
  • 5-7 years in data engineering or database development.
  • Hands on experience with SQL Server ETL/ELT pipelines.
  • Experience integrating pipelines with cloud services (AWS Glue, Azure Data Factory, GCP Dataflow).
  • Familiarity with streaming technologies (Kafka, Kinesis).
  • Experience in data modeling and architecture design.
  • Proficiency in Python/Scala/Java programming for pipeline development.
  • Exposure to DevOps automation (Terraform, Ansible) and containerization (Docker, Kubernetes).
  • DevOps and automation maturity with certifications (HashiCorp Terraform Associate, AWS DevOps Engineer) and containerization (Docker, Kubernetes).
  • Preferred: Advanced programming depth with applied coursework or certifications (Python Institute PCPP, Scala Professional Certification).
  • Preferred: Data modeling specialization with advanced coursework or vendor specific training (Snowflake, AWS Big Data Specialty).
Education
  • Bachelor's degree in Computer Science, Software Engineering, or related technical field.
Certifications (Preferred)
  • AWS Certified Data Engineer
  • Azure Data Engineer Associate
  • Google Professional Data Engineer
Aptitudes
  • Problem solving and optimization mindset.
  • Documentation skills: ability to produce pipeline diagrams, technical specifications, and compliance documentation.
  • Strong debugging and troubleshooting skills.
  • Collaborative aptitude for working with governance and SQL engineers.
  • Full command of the English language, both written and verbal, is mandatory.
Software Use
  • SQL Server (ETL/ELT pipelines, stored procedures).
  • Orchestration tools (Airflow, DBT).
  • Cloud integration services (AWS Glue, Azure Data Factory, GCP Dataflow).
  • Observability tools (OpenLineage, Monte Carlo).
  • DevOps automation tools (Terraform, Ansible).
  • Containerization platforms (Docker, Kubernetes).
Skill Evaluation: The Data Engineer role is the technical backbone of modernization, focusing on pipelines, integrations, and cloud readiness. Preferred certifications strengthen expertise in automation and containerization. This role ensures scalable, reliable, and secure data infrastructure, enabling analytics and governance.