GCP Data Engineer
Robotics Technologies LLC
Tampa, FL, United States
7 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Query Performance
Application Programming Interfaces (APIs)
Airflow
Data Analysis
Batch Processing
Business Intelligence Development
Big Data
BigQuery
Cloud Computing
Cloud Storage
Cluster Analysis
Computer Programming
+26 more
Databases
Continuous Integration
Data as a Services
Directed Acyclic Graph (Directed Graphs)
Extract Transform Load (ETL)
Data Transformation
Data Warehousing
Dimensional Modeling
Data Flow Control
Identity and Access Management
Python (Programming Language)
Machine Learning
Cloudera
SQL Databases
Data Streaming
Workflow Management Systems
Data Logging
Data Processing
Google Cloud
Sql Optimization
Apache Spark
Git
Infrastructure Automation Frameworks
Real Time Data
Data Pipelines
Apache Beam
Job description
We are looking for an experienced GCP Data Engineer to build and maintain scalable cloud-based data pipelines and data processing solutions on Google Cloud Platform. The candidate will work with large datasets, develop ETL/ELT workflows, optimize data warehouses, and support analytics and business intelligence initiatives., * Design and implement scalable batch and streaming data pipelines on GCP.
- Build ingestion frameworks to load data from APIs, databases, files, and streaming sources into BigQuery.
- Develop data transformation logic using SQL, Python, Apache Beam, and Spark where appropriate.
- Create and maintain BigQuery datasets, tables, views, and optimized analytical data models.
- Orchestrate and monitor workflows using Cloud Composer and Airflow DAGs.
- Implement real-time processing solutions using Pub/Sub and Dataflow.
- Optimize query performance, storage usage, and cloud infrastructure costs.
- Build data quality checks, reconciliation processes, and pipeline failure recovery mechanisms.
- Integrate data from enterprise systems, cloud applications, and on-premises sources.
- Implement data access controls, governance, lineage, and security policies.
- Configure logging, monitoring, alerting, and troubleshooting for production pipelines.
- Collaborate with data architects, analysts, BI developers, and machine learning teams.
- Maintain technical documentation and support production releases.
Requirements
- Strong experience with Google Cloud Platform (GCP) data services.
- Hands-on experience with BigQuery, including SQL optimization, partitioning, clustering, and cost management.
- Strong programming skills in Python and advanced SQL.
- Experience developing data pipelines using Cloud Dataflow and Apache Beam.
- Experience with Cloud Composer (Apache Airflow) for workflow orchestration.
- Knowledge of Pub/Sub for real-time data ingestion and event-driven processing.
- Experience with Cloud Storage, Dataproc, and Spark for batch processing.
- Understanding of data modeling, dimensional modeling, and data warehouse architecture.
- Experience with ETL/ELT development, data transformation, and data quality validation.
- Knowledge of IAM, service accounts, encryption, and GCP security best practices.
- Familiarity with Git, CI/CD, and infrastructure automation.
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