Found Description
Elevate your career at Techedin as a Senior Data Engineer in a hybrid setting. Your expertise in Python and Spark will drive scalable data pipeline solutions.
You will focus on building high-volume infrastructures and performing data analysis for business insights over a flexible working structure. Your 5+ years of experience will be critical as you collaborate with cross-functional teams to resolve complex data challenges and enhance cloud workflows.
Key Responsibilities:
• Build and maintain robust data pipelines for real-time analytics
• Create and automate cloud workflows for efficiency
• Solve intricate data problems iteratively
• Develop dashboards and tracking systems for KPIs
• Present technical insights to stakeholders effectively
Requirements:
• Minimum 5 years of experience in data engineering
• Expertise in Python, Spark (PySpark), SQL
• Hands-on experience with Snowflake and CI/CD practices
• Strong knowledge of data modeling principles<...
You will focus on building high-volume infrastructures and performing data analysis for business insights over a flexible working structure. Your 5+ years of experience will be critical as you collaborate with cross-functional teams to resolve complex data challenges and enhance cloud workflows.
Key Responsibilities:
• Build and maintain robust data pipelines for real-time analytics
• Create and automate cloud workflows for efficiency
• Solve intricate data problems iteratively
• Develop dashboards and tracking systems for KPIs
• Present technical insights to stakeholders effectively
Requirements:
• Minimum 5 years of experience in data engineering
• Expertise in Python, Spark (PySpark), SQL
• Hands-on experience with Snowflake and CI/CD practices
• Strong knowledge of data modeling principles<...
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