Job Description
We are seeking a skilled GCP Data Engineer with 4+ years of experience in Python and SQL to design, build, and optimize scalable data pipelines on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in data processing, cloud services, and data warehousing.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Python and SQL
Work With GCP Services Such As
BigQuery (data warehousing)
Cloud Storage
Dataflow / Apache Beam
Cloud Composer (Airflow)
Perform data ingestion, transformation, and integration from multiple sources
Optimize SQL queries for performance and cost efficiency
Ensure data quality, governance, and security standards
Collaborate with data analysts and business stakeholders to understand requirements
Monitor and troubleshoot data pipeline issues
Implement ETL/ELT processes and automation
Required Skills
4+ years of experience in Data Engineering / Data Analytics
Strong Proficiency In
Python (Pandas, PySpark is a plus)
SQL (advanced joins, window functions, optimization)
Hands-on experience with Google Cloud Platform (GCP)
Experience with BigQuery and large-scale data processing
Knowledge of ETL/ELT frameworks
Understanding of data modeling (star/snowflake schema)
Familiarity with version control (Git)Good to Have
Experience with Apache Airflow / Cloud Composer
Knowledge of PySpark or Databricks
Exposure to CI/CD pipelines
Understanding of data lakes and lakehouse architecture
Basic knowledge of machine learning workflows
Qualifications
Bachelor's degree in Computer Science, IT, or related field
Relevant Certifications (optional But Preferred)
Google Cloud Professional Data Engineer
Skills: python,sql,gcp,airflow,data,cloud
