Data Engineer - Google Cloud Platform || Phoenix, AZ | New York City, NY | Sunrise, FL(Onsite - Local Candidates Only)

Tekaccel, Inc

Position: Data Engineer - Google Cloud Platform

Location: Phoenix, AZ | New York City, NY | Sunrise, FL(Onsite - Local Candidates Only )

Interview Mode : 1 st round virtual; last round face-to-face interview required.

Job Summary

We are looking for an experienced Data Engineer with strong Google Cloud Platform (Google Cloud Platform) expertise to design, develop, and maintain scalable data pipelines and data-processing solutions. The ideal candidate will have strong hands-on experience with Python, SQL, BigQuery, Dataproc, Pub/Sub, Apache Airflow, and DAG development , along with a solid understanding of cloud-based data engineering and ETL/ELT architectures.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on Google Cloud Platform.
Develop data-processing solutions using Python and SQL .
Build and optimize data models, queries, and large-scale datasets in Google BigQuery .
Develop distributed data-processing workloads using Google Cloud Platform Dataproc and related technologies.
Build event-driven and real-time data pipelines using Google Cloud Pub/Sub .
Develop, schedule, and maintain workflows using Apache Airflow and DAGs .
Monitor data pipelines and troubleshoot performance, reliability, and data-quality issues.
Optimize BigQuery queries and data-processing workloads for performance and cost.
Integrate data from multiple structured and unstructured sources.
Implement appropriate data validation, logging, monitoring, and error-handling mechanisms.
Collaborate with data architects, analysts, application teams, and business stakeholders to understand data requirements.
Follow engineering best practices for source control, testing, CI/CD, security, and production deployment.

Required Technical Skills

Must Have:

Strong hands-on Python development experience
Advanced SQL skills
Strong hands-on experience with Google Cloud Platform (Google Cloud Platform)
BigQuery data modeling, complex SQL, performance optimization, and large-scale data processing
Dataproc experience developing and running distributed data-processing workloads
Pub/Sub experience building event-driven or streaming data pipelines
Apache Airflow
Strong experience developing and maintaining DAGs
ETL/ELT pipeline development
Data integration and transformation
Experience working with large-volume datasets
Understanding of cloud security, IAM, monitoring, and production support

Preferred Skills

Experience with PySpark / Apache Spark
Google Cloud Platform Cloud Storage (GCS)
Cloud Composer
Dataflow
CI/CD and automated deployment
Git/GitHub
Experience with APIs and data ingestion frameworks
Data quality and observability tools

Experience working in Agile/Scrum environments

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Vacancy posted 3 days ago

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