Data Engineer with Google Cloud Platform Spanner _ Dallas, TX (Hybrid) _ Telecom Domain Exp _ 12+ Years Required

Hi Professionals, We have an immediate openings for the below role, If interested please apply. Job Title: Google Cloud Platform SPANNER DATA ENGINEER Interview: Telephonic & MS TeamsJOB RESPONSIBILITIESType : Contract C2C and OnsiteOVERALL EXPERIENCE -10 YRS PLUS OVERALL EXPEREINCE A MINIMUM OF 10-12YRS+ MUST HAVE SOME TELECOM DOMAIN EXPEREINCE. Job Description: THE FOLLOWING SKILLS ARE A MUST AS PER NOTE: Google Cloud Platform Spanner, Firestore, Python tech stack along with other standard Go

Technical Skills: Hands on data engineering role with strong preference for Google Cloud Platform experience. Manager clarified this is not an AI first role. The priority is a true data engineer who is actively coding, building data pipelines, and working with cloud based data platforms. Must have strong experience with Python, Spark, Airflow, Cloud Composer, and Google Cloud Platform. Node.js and React are also now considered required, not just a plus. Candidate does not need to be a senior fro

Required Skills: Hands-on experience with Google Cloud Platform Expertise in BigQuery and Google Cloud Storage (GCS) Proficiency in Scala and/or Python for data engineering workflows. Experience with Apache Spark for large scala data processing. Experience with Apache Airflow for workflow orchestration. Advanced SQL skills for data analysis and transformation. Experience implementing CI/CD pipelines.Preferred Skills Microsoft certifications (e.g., Power BI Data Analyst Associate, Fabric Analytic

Job#: 3037133 Job Description: Client: Financial Services Team: TBA Job Title: Information Security Engineer 3 / Data Engineer (IAM Data Lake - Google Cloud Platform) Location: Columbus, OH / Irving (Las Colinas), TX - Hybrid Contract Length: 12mo Pay Rate: $53 - $57 Top Requirements: 4+ years of data engineering experience with strong Google Cloud Platform (Google Cloud Platform) expertiseHands-on experience building data lakes and data pipelines (batch & streaming)Strong experience with P