Data Engineers

VeeRteq Solutions Inc
United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Airflow Amazon Web Services Microsoft Azure Cloud Computing Code Review Databases Continuous Integration Extract Transform Load (ETL) Cloud Services
+10 more
Data Ingestion Azure Data Factory Sql Optimization Snowflake Git Debezium Qlikview Claude Data Pipelines Api Management

Job description

We are seeking skilled Data Engineers with strong expertise in Snowflake + Coalesce, data-pipeline development, orchestration, ETL/ELT, cloud data platforms, and modern data-engineering practices., Build ingestion pipelines into Bronze layer from databases, files, and APIs.

Develop Silver and Gold transformations using dbt.

Enhance reusable metadata-driven ingestion frameworks.

Implement data quality, error handling, reconciliation, and observability.

Support profiling, defect resolution, and operational documentation.

Participate in Agile ceremonies and code reviews.

Requirements

Engineering Degree BE / ME / BTech / M Tech / B.Sc. / M.Sc.

Technical certification in multiple technologies is desirable.

Mandatory Technical skills: -

Snowflake (minimum 5+ years hands-on development)

Coalesce (Catalog, Quality, Transformation)

Advanced SQL

Python for data engineering and API integrations

dbt (Core or Cloud) with production experience

Airflow, Azure Data Factory, or Snowflake Tasks

CDC/Replication tools (Fivetran, Qlik Replicate, Debezium, etc.)

Git and CI/CD

Agile delivery experience

Claude AI

Good to have skills: -

SnowPro Core certification

AWS/Azure cloud storage integrations

Experience with large-scale source consolidation programs

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