Gcp Data Engineer

Job Details

Roles & Responsibilities

• Design, develop, and deploy data pipelines and ETL processes.
• Implement robust data integration solutions, ensuring seamless data flow between multiple sources and destinations.
• Collaborate with data architects and analysts to understand requirements and translate them into scalable technical solutions.
• Develop and manage data transformation and data cleansing workflows to maintain data quality and consistency.
• Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and cost efficiency.
• Implement automation for recurring data processing tasks and workflows.

• We are seeking a skilled GCP Data Engineer with 4-10 years of experience in ETL, Data Warehousing, and Data Engineering. The ideal candidate will have hands-on experience with Google Cloud Platform tools, strong data analysis capabilities, and a solid understanding of data warehousing principles and best practices.

Qualifications

• Experience: 410 years in ETL and Data Warehousing.
• Proven experience developing data engineering solutions using:
• Airflow, GCP BigQuery, Cloud Storage, Dataflow, Cloud Functions, Pub/Sub, Cloud Run, etc.
• Hands-on experience building solution automations using ETL tools.
• Successfully executed at least two GCP Cloud Data Warehousing projects.
• Experience working on at least two projects using Agile or SAFe methodology.
• Mid-level proficiency in PySpark and Teradata.
• Experience with DevOps tools such as GitHub, Jenkins, and Cloud Native platforms.
• Working knowledge of semi-structured data formats (JSON, Parquet, XML).
• Strong ability to write complex SQL queries for data analysis and extraction.
• Deep understanding of Data Warehousing, Data Analysis, Data Profiling, Data Quality, and Data Mapping.
• Excellent leadership and communication skills.
• Certifications
• Google Cloud Professional Data Engineer Certification (preferred).