Software Engineer - Data Solutions at AiDash

Bengaluru, Karnataka, India

AiDash Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Climate Tech, Utilities, InfrastructureIndustries

Requirements

  • Minimum 3 years of software engineering experience
  • Experience with building, managing and maintaining data systems (ETL pipelines, etc.) for distributed scalable enterprise grade applications
  • Strong working knowledge of SQL (PostgreSQL with PostGIS preferable)
  • Experience with data orchestration tools like Airflow
  • Experience with AWS services (S3, EC2, ECR, etc.)
  • Experience with containerization tools like Docker
  • CI/CD pipelines tools like Jenkins preferable
  • Solid foundation in programming fundamentals, data structures and algorithms (Python, Scala preferable)
  • Experience working in cross-functional dynamic environment with tight timelines while leading a small team (Git, Jira, Confluence preferable)
  • Self-starter with strong problem-solving skills and keen interest in data engineering, analytics, and machine learning applications
  • Strong writing and verbal communication skills
  • Degree in Engineering, Computer Science, or related field preferred but not mandatory

Responsibilities

  • Collaborate with engineering managers and technical teams to ship data solutions that drive customer success
  • Maintain and run data and model pipelines—ingesting, cleaning, and transforming inputs to ensure they’re analysis-ready and of the highest quality
  • Partner with cross-functional teams (Platform, Data Science, GIS, etc.) on deliveries, making sure insights and recommendations are backed by reliable inputs
  • Oversee existing tools and workflows, pinpoint performance bottlenecks, and propose enhancements to streamline platform/data science models
  • Absorb best practices in data engineering and analytics, bring fresh ideas, and help iterate rapidly

Skills

Data Pipelines
Model Pipelines
Data Ingestion
Data Cleaning
Data Transformation

AiDash

AI solutions for infrastructure management and sustainability

About AiDash

AiDash offers AI-driven solutions that assist industries in managing their infrastructure against climate change threats. Their main products include systems for vegetation management, sustainability management, integrity management, and climate risk intelligence, which utilize AI and satellite data to provide actionable insights. AiDash differentiates itself by focusing specifically on the needs of sectors with geographically distributed assets, such as utility and transportation companies. The company's goal is to enhance the efficiency and sustainability of critical infrastructure while reducing costs and risks associated with climate change.

Palo Alto, CaliforniaHeadquarters
2019Year Founded
$98.7MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Energy, AI & Machine LearningIndustries
201-500Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Health Savings Account/Flexible Spending Account
401(k) Retirement Plan
Parental Leave
Paid Vacation

Risks

Growing competition from AI and satellite data companies may impact market share.
Potential regulatory changes could increase compliance costs for AiDash.
Economic downturns may affect AiDash's ability to secure future funding.

Differentiation

AiDash uses satellite data for real-time infrastructure monitoring and management.
Their AI-driven systems reduce vegetation management costs by up to 20%.
AiDash's solutions improve sustainability by cutting land and air costs by 70-90%.

Upsides

Increased adoption of AI solutions by utilities enhances grid reliability and reduces costs.
Successful Series C funding round raised $58.5 million, surpassing initial targets.
Strategic partnerships, like with AccuKnox, enhance data security and compliance.

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