AccelOne
51 - 200 employees
💼 Consulting
🏥 Healthcare
🏗️ Construction
💰 $100k Seed Round on 2021-11
Consulting • Healthcare • Construction
AccelOne is your trusted partner for building secure, scalable technology solutions designed to transform businesses and drive growth. They offer a comprehensive approach that spans from strategy to delivery, focusing on planning, building, and running innovative digital solutions. Their services include AI, data, and custom software development tailored to industries such as Real Estate, Fintech, Healthcare & Pharma, and Construction & Development. AccelOne prides itself on providing expert guidance, ensuring seamless integration and strong communication, and empowering businesses for lasting success through secure, scalable, and efficient solutions.
Data Engineer
Job not on LinkedIn
🕒 April 29
Amazon Redshift
Apache
AWS
Azure
BigQuery
Cloud
Docker
ETL
Google Cloud Platform
Kafka
Kubernetes
NoSQL
Spark
SQL
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AccelOne
51 - 200 employees
💼 Consulting
🏥 Healthcare
🏗️ Construction
💰 $100k Seed Round on 2021-11
Consulting • Healthcare • Construction
AccelOne is your trusted partner for building secure, scalable technology solutions designed to transform businesses and drive growth. They offer a comprehensive approach that spans from strategy to delivery, focusing on planning, building, and running innovative digital solutions. Their services include AI, data, and custom software development tailored to industries such as Real Estate, Fintech, Healthcare & Pharma, and Construction & Development. AccelOne prides itself on providing expert guidance, ensuring seamless integration and strong communication, and empowering businesses for lasting success through secure, scalable, and efficient solutions.
📋 Description
• Build and maintain scalable, reliable, and secure data platforms • Design and implement robust ETL/ELT pipelines for structured and unstructured data • Ensure data quality, lineage, governance, and compliance across data platforms • Collaborate with Data Science and AI teams to productionize machine learning pipelines • Monitor and troubleshoot data workflows and system performance
🎯 Requirements
• 8–10 years of experience for Senior Data Engineer • 5–7 years of experience for Data Engineer • Experience with Snowflake, BigQuery, Amazon Redshift, and Databricks • Proficiency in Apache Spark, Apache Kafka, and Apache Flink • Expertise in SQL and NoSQL databases • Familiarity with CI/CD pipelines and version control systems • Knowledge of Docker and Kubernetes • Experience with AWS, Azure, and Google Cloud Platform (GCP)
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