GCP Python Data Engineer at Charlotte, NC (Onsite)-Contract

Lorven Technologies Inc

Charlotte, NC, United States

about 1 month ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$80,000.0 - $165,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Airflow Apache HTTP Server BigTable BigQuery Cloud Computing Continuous Integration Extract Transform Load (ETL) Data Warehousing Software Debugging Distributed Computing Environment

+13 more

Data Flow Control Identity and Access Management Python (Programming Language) Cloudera SQL Databases SQL Server Integration Services Data Logging Google Cloud Apache Spark Git Apache Flink Graphql Data Pipelines

Job description

Role : Integration Engineer Location : Charlotte, NC / Iselin, NJ(Hybrid) Type: C2C Skills: Strong focus on ETL, SQL, SSIS, Python, Data Warehouse, JD: This position is f…

10 hours ago
Apply easily, Charlotte Attached Detailed JD 8+ Yrs Exp. Python/Java and distributed data processing platforms like Spark, Flink etc. Preferred: Experience with Apache Iceberg. GraphQL…
9 hours ago
Apply easily +

Requirements

We are looking for a motivated Data Engineer with experience on Google Cloud Platform GCP using Python programming. This role is ideal for someone eager to build scalable data pipelines and grow in distributed data processing and cloud technologies Required Skill

Good understanding Python programming
Exposure to GCP services such as IAM, KMS, GCS, BigQuery, BigLake, Bigtable, Cloud Composer, GKE, Cloud SQL, Cloud Functions, Data Catalog, Dataplex, Dataproc, and Dataflow.
Familiarity with Git for version control
Clear understanding of CICD concepts
Strong problem solving and debugging skills”
Troubleshoot provisioning issues related to IAM permissions, API enablement, quotas, state management, dependencies, or resource conflicts.
Optimize logging and monitoring configurations to balance observability, cost efficiency, and operational performance.