Data Engineer L2 at Vana

Guatemala

Vana Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
FintechIndustries

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience
  • 4+ years in data engineering or a related field
  • Proficiency in Python for data manipulation and automation
  • Strong SQL skills for querying and managing databases
  • Familiarity with AWS services like Redshift, Lambda, and ECS
  • Experience with workflow orchestration tools like Airflow
  • Understanding of ETL concepts and processes
  • Experience with version control (Git) and CI/CD pipelines
  • Strong problem-solving and analytical abilities
  • Excellent communication skills for collaborating with cross-functional teams
  • Ability to work independently and as part of a team
  • Attention to detail and commitment to data quality
  • Eagerness to learn and adapt to new technologies
  • Preferred Qualifications
  • Experience with data modeling and schema design
  • Knowledge of big data technologies like Spark or Hadoop
  • Familiarity with data visualization tools
  • Understanding of data governance and security best practices
  • Experience in the fintech industry or fast-paced startup environments

Responsibilities

  • Design and maintain scalable data pipelines using Python and SQL to ingest and process data from various sources
  • Optimize and administer data warehouse (Redshift), including performance tuning and managing data access
  • Implement and maintain ETL processes to ensure data consistency and quality
  • Work with data scientists and analysts to understand data needs and ensure availability of required datasets
  • Monitor and troubleshoot data pipelines, fix inconsistencies, and ensure smooth operation
  • Develop scripts and tools to automate data engineering tasks and improve efficiency
  • Utilize AWS services (e.g., Redshift, Lambda, ECS) to manage and optimize cloud resources for data operations
  • Use tools like Airflow to schedule and manage data workflows
  • Document processes, configurations, and workflows for knowledge sharing and scalability
  • Identify opportunities to enhance data infrastructure, processes, and technologies

Skills

Python
SQL
Redshift
ETL
Airflow
AWS
Lambda
ECS

Vana

Decentralized platform for personal data management

About Vana

Vana operates a decentralized platform that allows individuals to manage and monetize their personal data. Users can control what information they share, with whom, and how much they earn from it. This platform is designed for those who are aware of their digital footprint and want to benefit from their data, including tech-savvy individuals and privacy advocates. Vana differentiates itself by creating an open ecosystem where users can own their digital identities and engage in transactions with data buyers, earning money in the process. The company's goal is to promote a more equitable data economy, ensuring that individuals are rewarded for their personal data while fostering a community where users can thrive.

San Francisco, CaliforniaHeadquarters
2021Year Founded
$24.3MTotal Funding
EARLY_VCCompany Stage
Data & Analytics, Crypto & Web3Industries
11-50Employees

Benefits

Competitive base salary
Health insurance, dental and vision
Flexible work schedule
Unlimited PTO

Risks

Emerging competition from platforms like Ocean Protocol could dilute Vana's market share.
Regulatory scrutiny on data privacy may impose additional compliance costs for Vana.
Volatility in cryptocurrency markets poses financial risks to Vana's transaction values.

Differentiation

Vana empowers users to monetize their data through decentralized autonomous organizations (DAOs).
The platform offers data portability, allowing users to control data across multiple services.
Vana's community-focused approach rewards users for contributing data, enhancing user engagement.

Upsides

Vana secured $200M in funding, indicating strong investor confidence in its model.
The rise of DataDAOs creates new opportunities for user engagement and monetization.
Growing interest in data privacy boosts demand for Vana's decentralized data management solutions.

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