Senior Data Engineer

Jobgether • United States

Remote

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AI Summary

Drive innovation and improvements in data engineering and analytics across the globe. Develop and maintain robust data infrastructures and pipelines. Take charge of developing and implementing large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse.

Key Highlights

Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines

Build and implement ETL frameworks to improve code quality and reliability

Communicate ideas clearly, both verbally and through concise documentation

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Key Responsibilities

Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse

Build and implement ETL frameworks to improve code quality and reliability

Ensure accuracy and consistency of data processing, results, and reporting

Guide and mentor other Data Engineers as a technical owner of parts of the data platform

Technical Skills Required

Python SQL DevOps ETL orchestration and workflow management tools like Airflow, flink etc. using AWS/GCP Distributed data processing tools like Spark, Presto, etc. and streaming technologies such as Kafka/Flink Containerization orchestration engines (Kubernetes) SnowFlake (preferred) or another big data database platform Cloud service providers: Amazon AWS (preferred) or other major clouds

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Benefits & Perks

Fully remote workspace

Flexible working hours to balance life and work

Opportunity to work in a fast-growing and energizing team

Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer. In this role, you will push the boundaries of technology while working remotely in your own comfortable environment. You will be part of a dynamic team that drives innovation and improvements in data engineering and analytics across the globe. The right candidate will take charge of developing and maintaining robust data infrastructures and pipelines, ensuring high-quality data flow and validation processes. Your contributions will directly impact how data is utilized across functional teams, making you a key player in our evolution toward a data-driven culture.

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