Google Cloud Platform Data Engineer

Skill: Google Cloud Platform Data Engineer5+ years of hands-on software development experience with Big Data & Analytics solutionsGoogle Cloud Platform Cloud - Big Query, Airflow, DataProc, PubSub,Hadoop Hive, Spark, Python, shell scripting.Strong experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and Google Cloud Platform technologies.Proficiency in SQL and database systems, with experience in designing

Google Cloud Platform Data Engineer Data Engineering: Advanced SQL, data modeling, ETL/ELT, batch & streaming pipelines Google Cloud Platform Expertise: BigQuery, Dataflow, GCS, Pub/Sub, Dataproc Programming: Python (primary), with Java/Scala for distributed processing Data Integration: Ingestion patterns, APIs, CDC, and scalable pipeline design DevOps & Security: CI/CD, Terraform, IAM, data governance & lifecycle management

Job Description: We are looking for a Senior Data Engineer with strong experience in Google Cloud Platform, Spark, and Python to support enterprise data engineering and cloud migration initiatives. Required Skills: 12+ years of IT experienceStrong hands-on experience with Spark and Python (Mandatory)Experience migrating data from on-premises to Google Cloud PlatformStrong experience building batch and streaming data pipelinesHands-on experience with BigQuery, Cloud Storage, Dataplex, Dataflow, D

Only W2 Job Summary: We are seeking a Data Engineer with strong Google Cloud Platform and Contact Center (CCaaS) experience to support its enterprise-wide customer experience transformation. The role focuses on building scalable data pipelines, integrating cloud contact center platforms, enabling real-time data processing, and supporting AI-driven customer engagement initiatives. Required Skills: Experience with CCaaS/Contact Center technologies (Five9 preferred, otherwise Genesys, IVR, ACD, cal