Data Engineer - Google Cloud Platform
Description
Mandatory Skills : GCP, Python, SQL & Data Engineering
Roles and Responsibilities :
- Design, develop, test, deploy, and maintain large-scale data pipelines using BigQuery, Cloud Storage, and other Google Cloud Platform services.
- Develop advanced analytics models using Python and SQL to drive insights from big data datasets.
- Ensure scalability, reliability, security, and performance of all systems deployed on the Google Cloud Platform.
Desired Candidate Profile :
- 3-6 years of experience in Data Engineering with expertise in GCP technologies such as BigQuery, Cloud Storage.
- Strong understanding of Advanced Analytics concepts including machine learning algorithms and statistical modeling techniques.
- Proficiency in programming languages like Python and familiarity with SQL database management systems.
Role : Data Engineer
Industry Type : Analytics / KPO / Research
Department : Engineering - Software & QA
Employment Type : Full Time, Permanent
Role Category : Software Development
Education : UG : Any Graduate
Key Skills : GCP, Etl Pipelines, Pyspark, Data Engineering, Bigquery, Big Data, Google Cloud Services, Gcp Cloud, SQL, Cloud Storage, DATA, Data Pipeline, Advanced Analytics, Data Flow, Data Warehousing, Spark, Google Cloud Platforms, Data Analytics, ETL, Python