Job Overview:
We are seeking a highly skilled and experienced Senior Cloud Data Engineer with a strong expertise in Snowflake to join our growing data team. This role will be responsible for building, optimizing, and maintaining scalable data pipelines and architecture. The ideal candidate will be a problem solver who can transform raw data into actionable insights while streamlining data flow to deliver data-driven solutions for complex business challenges.
Develop and maintain scalable and efficient data pipelines, leveraging cloud platforms and ETL tools to ensure seamless data flow.
Utilize advanced data engineering techniques to process and transform raw data into structured formats that provide actionable insights for business intelligence and decision-making.
Leverage cloud platforms such as Snowflake to manage and optimize the storage, retrieval, and transformation of large data sets.
Drive the automation of data processes, ensuring the optimization of workflows, and continuously improving data pipeline efficiency.
Work closely with data scientists, analysts, and business stakeholders to design solutions that solve complex business problems, utilizing a data-driven approach.
Ensure the integrity, accuracy, and quality of the data being processed and delivered, troubleshooting any issues that arise in the data pipeline.
Deliver data-driven solutions that improve decision-making processes across the organization.
Qualifications:
Strong experience with Snowflake, including architecture, design, and performance optimization.
Proficiency in cloud platforms (AWS, Azure, or GCP) for data storage, computation, and processing.
Extensive experience with ETL tools (e.g., Apache Airflow, Talend, etc.) and automation techniques to improve data workflows.
Strong proficiency in SQL, Python, or other relevant programming languages used in data engineering.
Excellent troubleshooting skills, with the ability to analyze and resolve complex data issues.
Strong communication skills to collaborate with cross-functional teams and explain complex data processes clearly.
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