Job Description
Elevate analytics capabilities as a Senior Data Engineer in a hybrid role. Design and build data platforms that drive data-driven decisions for business success.
This position involves architecting enterprise-grade data solutions and ensuring high-performance analytics. You will create resilient data pipelines, execute ETL processes, and automate cloud infrastructure. Additionally, collaborate with stakeholders to deliver insightful dashboards and reports that enhance operational clarity.
Key Responsibilities:
• Design and implement scalable data platforms and solutions
• Optimize data pipelines for efficiency and speed
• Drive development of a resilient data infrastructure
• Execute data transformation and ETL workflows
• Present analytical insights to various stakeholders
Requirements:
• 4-7 years of data engineering experience
• Advanced knowledge of Apache Spark and PySpark
• Strong SQL skills and experience in data modeling
• Proficient with Sno...
This position involves architecting enterprise-grade data solutions and ensuring high-performance analytics. You will create resilient data pipelines, execute ETL processes, and automate cloud infrastructure. Additionally, collaborate with stakeholders to deliver insightful dashboards and reports that enhance operational clarity.
Key Responsibilities:
• Design and implement scalable data platforms and solutions
• Optimize data pipelines for efficiency and speed
• Drive development of a resilient data infrastructure
• Execute data transformation and ETL workflows
• Present analytical insights to various stakeholders
Requirements:
• 4-7 years of data engineering experience
• Advanced knowledge of Apache Spark and PySpark
• Strong SQL skills and experience in data modeling
• Proficient with Sno...