Python
VMC Soft Technologies, Inc
Location
🇮🇳 Hyderabad, India
Type
full_time
Salary
Undisclosed
Posted
22h ago
Job Description
Skills: Digital: Python Digital: Google Cloud
Experience Required
: 6-8 years Hyderabad,Bangalore Work Mode : WFO Role Descriptions: We are seeking a skilled Data Engineer with strong expertise in Google Cloud Platform (GCP)| Python| and SQL. The ideal candidate will be responsible for designing| building| and optimizing scalable data pipelines and ensuring efficient data processing for analytics and business intelligence.
Key Responsibilities
Design| develop| and maintain scalable data pipelines using GCP services.Build and optimize ETLELT processes using Python and SQL.Work with large datasets and ensure data quality| integrity| and security.Develop data models to support reporting and analytics use cases.Collaborate with data scientists| analysts| and cross-functional teams.Monitor and troubleshoot data workflows and pipeline performance.Implement best practices for data governance and architecture.
Technical Skills
RequiredGCP Services BigQuery| Dataflow| Dataproc| Cloud Storage| PubSub| Composer (Airflow)Strong programming experience in PythonExpertise in SQL and database performance tuningExperience with ETLELT tools and data pipeline frameworksKnowledge of data warehousing concepts and data modelingFamiliarity with CICD pipelines and version control (Git) Essential Skills: Job SummaryWe are seeking a skilled Data Engineer with strong expertise in Google Cloud Platform (GCP)| Python| and SQL. The ideal candidate will be responsible for designing| building| and optimizing scalable data pipelines and ensuring efficient data processing for analytics and business intelligence.
Key Responsibilities
Design| develop| and maintain scalable data pipelines using GCP services.Build and optimize ETLELT processes using Python and SQL.Work with large datasets and ensure data quality| integrity| and security.Develop data models to support reporting and analytics use cases.Collaborate with data scientists| analysts| and cross-functional teams.Monitor and troubleshoot data workflows and pipeline performance.Implement best practices for data governance and architecture.