
Data Infrastructure Specialist
1 week ago
About Us:
We balance innovation with an open, friendly culture and the backing of a long-established company known for its ethical reputation.
Our mission is to unlock the value of customer data and applications to solve digital challenges and achieve business and societal outcomes.
Job Summary:
Data Engineer
Key Responsibilities:
- Design develop and maintain scalable data pipelines using PySpark Python GCP and Airflow.
- Implement data processing workflows and ETL processes to extract transform and load data from various sources into data lakes and warehouses.
- Manage and optimize data storage solutions using GCP services.
- Collaborate with data scientists analysts and stakeholders to understand data requirements and deliver high-quality data solutions.
- Perform data quality checks and validation to ensure data accuracy and consistency.
- Monitor and troubleshoot data pipelines to ensure smooth efficient data processing.
The ideal candidate will have a strong background in designing developing and maintaining scalable data pipelines and architectures handling terabyte-scale data processing. A highly skilled Data Engineer with experience in PySpark Python GCP IAM CS Dataproc BigQuery SQL Airflow and building data pipelines is required.
Requirements:
- Strong understanding of data engineering concepts and practices.
- Experience with PySpark Python GCP IAM CS Dataproc BigQuery SQL Airflow and data pipeline tools.
- Excellent problem-solving skills and ability to work independently.
- Strong communication and collaboration skills.
Benefits:
Our company offers a competitive salary and benefits package including health insurance retirement plan and paid time off.
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