More jobs:
Data Engineer; Builder
Job in
Montgomery, Montgomery County, Alabama, 36136, USA
Listed on 2025-12-26
Listing for:
Tech Providers,
Full Time
position Listed on 2025-12-26
Job specializations:
-
IT/Tech
Data Engineer -
Engineering
Data Engineer
Job Description & How to Apply Below
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 Dev Ops automation (Terraform, Ansible) and containerization (Docker, Kubernetes).
- Dev Ops and automation maturity with certifications (Hashi Corp Terraform Associate, AWS Dev Ops 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).
- Bachelor’s degree in Computer Science, Software Engineering, or related technical field.
- AWS Certified Data Engineer
- Azure Data Engineer Associate
- Google Professional Data Engineer
- 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.
- SQL Server (ETL/ELT pipelines, stored procedures).
- Orchestration tools (Airflow, DBT).
- Cloud integration services (AWS Glue, Azure Data Factory, GCP Dataflow).
- Observability tools (Open Lineage, Monte Carlo).
- Dev Ops automation tools (Terraform, Ansible).
- Containerization platforms (Docker, Kubernetes).
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.
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