Data Engineer with GCP and Data modelling Exp

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.