ETL_GCP_Bigquery Developer

Role Overview: As an ETL_GCP_Bigquery Developer, you will be responsible for developing and maintaining ETL processes on Google Cloud Platform (GCP) with a focus on BigQuery. Key Responsibilities: - Designing, developing, and testing ETL processes to extract, transform, and load data into BigQuery - Collaborating with cross-functional teams to understand data requirements and deliver scalable solutions - Optimizing query performance and ensuring data accuracy and integrity - Troubleshooting and resolving issues related to ETL processes and data pipelines - Keeping up to date with the latest trends and best practices in ETL development and GCP technologies Qualifications Required: - Bachelor's degree in Computer Science, Information Technology, or related field - 6+ years of experience in ETL development, particularly on GCP and BigQuery - Proficiency in SQL, Python, and other relevant programming languages - Strong understanding of data warehousing concepts and methodologies - Experience working in an Agile environment and with large datasets Please note: No additional details about the company were provided in the job description. Role Overview: As an ETL_GCP_Bigquery Developer, you will be responsible for developing and maintaining ETL processes on Google Cloud Platform (GCP) with a focus on BigQuery. Key Responsibilities: - Designing, developing, and testing ETL processes to extract, transform, and load data into BigQuery - Collaborating with cross-functional teams to understand data requirements and deliver scalable solutions - Optimizing query performance and ensuring data accuracy and integrity - Troubleshooting and resolving issues related to ETL processes and data pipelines - Keeping up to date with the latest trends and best practices in ETL development and GCP technologies Qualifications Required: - Bachelor's degree in Computer Science, Information Technology, or related field - 6+ years of experience in ETL development, particularly on GCP and BigQuery - Proficiency in SQL, Python, and other relevant programming languages - Strong understanding of data warehousing concepts and methodologies - Experience working in an Agile environment and with large datasets Please note: No additional details about the company were provided in the job description.