About
Data Engineer
Location:
Columbus, OH or Dallas, TX
(Hybrid-3 days in office)
Consultant Type:
W2 only
Must Have-
• Proven experience designing and implementing data lake architectures (e.g., bronze/silver/gold or layered models)
• Strong knowledge of cloud storage (GCS) design, including bucket layout, naming conventions, lifecycle policies, and access controls
• Hands-on experience with columnar data formats (parquet, avro, orc) and compression techniques
• Expertise in partitioning strategies, backfills, and large-scale data organization
• Ability to design curated data models optimized for analytics and BI consumption
5–10 years of experience specializing in
data modernization
Migration
of on-premises data platforms to
Google Cloud Platform (GCP)
Python
development skills,
Hands-on experience in
data modeling , and hands-on work on
medallion architecture
(bronze, silver, gold layers).
The candidate will be responsible for
designing ,
modeling , and
transforming data
to support scalable, cloud-native analytics and modernization initiatives.
Languages
- English
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