TalentAQ

TalentAQ

Senior Data Engineer

Engineering5+ yearsRemote

Required Skills
11 skills

Python
SQL
AWS
Azure
GCP
Airflow
Prefect
Spark
Kafka
Snowflake
Git

Job Description

Hire Resolve's client is a forward-thinking and rapidly growing company specializing in data-driven solutions across multiple industries. They are seeking a Senior Data Engineer to join their dynamic team on a fully remote basis. This is a unique opportunity for an experienced professional who thrives in designing and implementing scalable data infrastructure in a cloud-first environment. Key Responsibilities: Design, build, and maintain robust, scalable, and efficient data pipelines and architectures. Collaborate with data scientists, analysts, and software engineers to understand data needs and deliver high-quality solutions. Develop ETL/ELT processes to ingest and transform large volumes of structured and unstructured data. Ensure data quality, governance, and security practices are upheld throughout the data lifecycle. Optimize database performance and query execution on large datasets. Evaluate and recommend new data technologies and tools to enhance infrastructure.
Hire Resolve's client is a forward-thinking and rapidly growing company specializing in data-driven solutions across multiple industries. They are seeking a Senior Data Engineer to join their dynamic team on a fully remote basis. This is a unique opportunity for an experienced professional who thrives in designing and implementing scalable data infrastructure in a cloud-first environment. Key Responsibilities: Design, build, and maintain robust, scalable, and efficient data pipelines and architectures. Collaborate with data scientists, analysts, and software engineers to understand data needs and deliver high-quality solutions. Develop ETL/ELT processes to ingest and transform large volumes of structured and unstructured data. Ensure data quality, governance, and security practices are upheld throughout the data lifecycle. Optimize database performance and query execution on large datasets. Evaluate and recommend new data technologies and tools to enhance infrastructure.

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