We are looking for a skilled GCP Data Engineer with 3 to 6 years of experience to join our dynamic team. The ideal candidate will have a strong background in data engineering, cloud technologies, and experience with Google Cloud Platform (GCP) services. You will be responsible for designing, building, and maintaining scalable data pipelines and frameworks that support our data analytics and machine learning initiatives.
Responsibilities:
Key Responsibilities:
Design and implement data pipelines using GCP services such as BigQuery, Dataflow, and Pub/Sub.
Collaborate with data scientists and analysts to understand data needs and deliver appropriate solutions.
Optimize data storage and processing solutions for efficiency and cost-effectiveness.
Develop and maintain ETL processes to extract, transform, and load data from various sources.
Ensure data quality, security, and compliance with industry standards.
Monitor and troubleshoot data pipeline performance issues.
Document data engineering processes and maintain clear communication with stakeholders.
Requirements:
Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field.
3 to 6 years of experience in data engineering or a similar role, with a focus on GCP.
Strong proficiency in SQL and experience with data modeling.
Familiarity with programming languages such as Python or Java.
Experience with data warehousing solutions, particularly BigQuery.
Knowledge of data processing frameworks such as Apache Beam or Apache Spark.
Understanding of data architecture and design principles.
* Excellent problem-solving skills and ability to work in a fast-paced environment.
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