Data Engineer L2 at Vana

Guatemala

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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

Key technologies and capabilities for this role

PythonSQLRedshiftETLAirflowAWSLambdaECS

Questions & Answers

Common questions about this position

What technical skills are required for the Data Engineer L2 role?

Required technical skills include proficiency in Python for data manipulation and automation, strong SQL skills, familiarity with AWS services like Redshift, Lambda, and ECS, experience with Airflow for workflow orchestration, and understanding of ETL concepts, plus Git and CI/CD pipelines.

What is the experience level required for this position?

The role requires 4+ years in data engineering or a related field.

What is the employment type for this role?

The employment type is 'En planilla'.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What does the company culture or work environment look like?

The role offers a dynamic environment in a fast-paced, fast-growing fintech company in Latin America, involving collaboration with cross-functional teams including data scientists and analysts.

What makes a strong candidate for this Data Engineer position?

Strong candidates will have a Bachelor's degree or equivalent, 4+ years of experience, key technical skills in Python, SQL, AWS, Airflow, and ETL, plus soft skills like problem-solving, communication, independence, attention to detail, and eagerness to learn; preferred experience in fintech or startups is a plus.

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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