Data Engineer

Job not on LinkedIn

🔥 8 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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BusPatrol

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

🏥 Healthcare

📚 Education

📦 Logistics

💰 Series unknown on 2024-07

Healthcare • Education • Logistics

<BusPatrol> BusPatrol is an AI-powered school bus safety company that provides stop-arm enforcement and telematics through camera hardware and managed services. Its solution combines AI video detection, full-fleet interior and 360° exterior cameras, and secure evidence workflows with community education, dashboards, and reporting to help school districts, municipalities, and law enforcement reduce illegal passings and improve student safety.

📋 Description

• Build and maintain data infrastructure supporting reporting, analytics, and data science initiatives • Create and orchestrate data pipelines in AWS using Redshift, EC2, EMR/Spark, S3, Lambda, Glue, and related services • Manage the data and analytics ecosystem from ingestion and ETL through aggregate tables • Design and implement internal data pipeline processes and improvements through automation, optimization, and infrastructure redesign • Develop scripts for scheduling data ingestion and synchronization • Implement backend logic to create data marts for stakeholder self-service • Partner with data architects to build metrics-as-code frameworks and optimize data search and retrieval • Troubleshoot production data jobs and processes, resolve data quality issues, and improve pipeline performance • Build complex datasets with multidimensional relationships for functional and non-functional business requirements • Develop system integrations to ensure seamless data flow • Collaborate with business stakeholders, data architects, and data team colleagues • Responsibly leverage AI while maintaining ownership of outputs, mastering the codebase, and preventing software bloat

🎯 Requirements

• Bachelor’s degree or higher in a quantitative or technical field (e.g., Computer Science, Statistics, Engineering) or equivalent experience • 5+ years of experience in data engineering, database engineering, business intelligence, or business analytics • 5+ years of SQL experience for reporting and transformation, including Redshift, MySQL, PostgreSQL, Snowflake, or Databricks • 4+ years of Python experience, including class development, within a Git-managed CI/CD team development environment • 4+ years of experience with schema design and dimensional data modeling • Experience with Data Lake architectures and integrating structured and unstructured data into unified models • Experience with API design and development of RESTful web services • Ability to define and align to a long-term vision, diagnose issues independently, and work with code, data, and logs • Analytical ability to structure and process qualitative data and draw insightful conclusions • Experience with data science and machine learning (a plus) • Experience with GIS (a plus) • Data visualization experience with tools such as Tableau (a plus) • Experience with JIRA (preferred) • Strong interest in understanding business strategy and how data engineering contributes to organizational goals

🏖️ Benefits

• Remote work arrangement stated in the description • Travel less than 5%

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