Senior Data Engineer (GCP) 6+ Yrs Hyderabad
Job Summary
Role Overview
This role requires hands-on engineering capability strong problem-solving skills and experience working in enterprise-grade data ecosystems supporting analytics reporting and machine learning initiatives.
Technical Core Requirements:
Data Integration: Expertise in designing and executing ETL or ELT pipelines to manage large-scale Data sets using SQL.
Cloud Architecture: Hands-on experience with Google Cloud Platform (GCP) specifically BigQuery Cloud Dataflow Cloud Storage Cloud Spanner Cloud Bigtable or Cloud Composer.
Orchestration: Proven ability to manage complex data workflows using Airflow or similar orchestration tools.
Programming: Proficiency in at least one backend language: Python Java C or Go (Golang).
Certification: Must hold one of the following credentials:
DCD (Data Center Design)
IBM Data Engineering Professional (IDEP)
Meta Database Engineer Professional (MDEP)
Cloudera Certified Professional Data Engineer (CCP-DE)
Required Skills:
Our client is a leading Global Fortune 500 IT solutions company that specializes in providing simple and scalable solutions to solve complex business challenges. With a workforce of over 500000 employees they offer technical and domain expertise across various platforms and industries to assist enterprise companies in enhancing productivity efficiency and optimizing their technology investments. Job Description: Senior Data Engineer (GCP) Position Title: Senior Data Engineer Google Cloud Platform (GCP) Experience Required: 8 Years Location: Hyderabad Employment Type: Full-Time Role Overview We are seeking a highly skilled and experienced Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) to design develop optimize and manage scalable data platforms and pipelines. The ideal candidate will have strong experience in large-scale data integration cloud-native architecture workflow orchestration and backend programming. This role requires hands-on engineering capability strong problem-solving skills and experience working in enterprise-grade data ecosystems supporting analytics reporting and machine learning initiatives. Requirements Technical Core Requirements: Data Integration: Expertise in designing and executing ETL or ELT pipelines to manage large-scale Data sets using SQL. Cloud Architecture: Hands-on experience with Google Cloud Platform (GCP) specifically BigQuery Cloud Dataflow Cloud Storage Cloud Spanner Cloud Bigtable or Cloud Composer. Orchestration: Proven ability to manage complex data workflows using Airflow or similar orchestration tools. Programming: Proficiency in at least one backend language: Python Java C or Go (Golang). Certification: Must hold one of the following credentials: DCD (Data Center Design) IBM Data Engineering Professional (IDEP) Meta Database Engineer Professional (MDEP) Cloudera Certified Professional Data Engineer (CCP-DE)
Required Education:
any graduate or post graduate