Senior GCP Data Engineer
InfoVision Inc.
Date: 2 weeks ago
City: Hyderabad, Telangana
Contract type: Full time
GCP Data Engineer
We are seeking an experienced GCP Data Engineer (Senior Level) with 7+ years of expertise in ETL, Data Warehousing, and Data Engineering. The ideal candidate will have hands-on experience with GCP technologies, strong data analysis and design skills, and a deep understanding of modern Data Warehousing and Data Engineering principles.
Qualifications
Roles & Responsibilities
We are seeking an experienced GCP Data Engineer (Senior Level) with 7+ years of expertise in ETL, Data Warehousing, and Data Engineering. The ideal candidate will have hands-on experience with GCP technologies, strong data analysis and design skills, and a deep understanding of modern Data Warehousing and Data Engineering principles.
Qualifications
- Experience: 7+ years in ETL and Data Warehousing.
- Proven experience in developing Data Engineering solutions using:
- Airflow, GCP BigQuery, Cloud Storage, Dataflow, Cloud Functions, Pub/Sub, Cloud Run, etc.
- Hands-on experience with automation in ETL tools and GCP services.
- Successfully executed at least two end-to-end GCP Cloud Data Warehousing projects.
- Experience in Agile/SAFe project delivery methodologies (minimum two projects).
- Proficiency in PySpark and Teradata (mid to advanced level).
- Working knowledge of DevOps tools such as GitHub, Jenkins, and Cloud Native services.
- Experience handling semi-structured data formats (JSON, Parquet, XML).
- Strong ability to write and optimize complex SQL queries for data analysis and extraction.
- In-depth understanding of Data Warehousing, Data Analysis, Data Profiling, Data Quality, and Data Mapping.
- Excellent leadership, communication, and collaboration skills.
- Google Cloud Professional Data Engineer Certification (preferred).
Roles & Responsibilities
- Design, develop, and deploy data pipelines and ETL processes.
- Implement robust data integration solutions to ensure efficient and reliable data flow across multiple systems.
- Collaborate closely with data architects and business analysts to gather requirements and translate them into scalable technical solutions.
- Develop and maintain data transformation and data cleansing processes to ensure high data quality and consistency.
- Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and cost efficiency.
- Lead the automation of data workflows and implement best practices for pipeline management.
- Mentor junior engineers and contribute to defining data engineering standards and frameworks.
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