Data Engineer

This is a remote position.

We are looking for a naturally curious Data Engineer with strong interpersonal relationship skills to build end to end data pipelines, that is, design, build and maintain ETL/ELT pipelines. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.

Requirements

The ideal candidate must be proficient in:

• Computer science: Apply the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering.
  

• Programming: Write computer programs and analyze large datasets to uncover answers to complex problems. Need to be comfortable writing code working in a variety of languages such as Java, R, Python, and SQL.
  

• Machine learning: Implement algorithms and statistical models to enable a computer to automatically learn from data.
  

• Statistical analysis: Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection.
  

• Business intuition: Connect with stakeholders to gain a full understanding of the problems they’re looking to solve.
  

• Analytical thinking. Find analytical solutions to abstract business issues.
  

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Responsibilities

• Design, build and maintain ETL/ELT pipelines.
  

• Monitor data and models regularly. Persistently ensure quality check
  

• Transform data into scalable, performant data models that would be consumed by data analysts and data scientists.
  

• Design, build and update foundational analytics data models that simplify analyses across the products.
  

• Implement best practices to ensure high quality, robust data.
  

• Critical thinking: Apply objective analysis of facts before coming to a conclusion.
  

Qualifications

• Minimum of 3 years (2 with advanced degree) experience working in an engineering role. Suitable previous roles include: Data Engineer, Machine Learning Engineer, MLOps Engineer, etc.
  

• 3+ years of experience with Python (including major machine learning and deployment libraries such as numpy, pandas, scikit learn, tensorflow, Flask).
  

• 3+ years of experience with SQL.
  

• 3+ years experience with Apache Kafka
  

• 3+ years experience with Apache Spark
  

• 3+ years experience with web scraping (you should be familiar with the major libraries such as requests, Beautiful Soup, lxml, Selenium and Scrapy).
  

• 3+ years experience in unit testing and integration testing
  

• 2+ years of experience deploying machine learning models in a cloud computing environment such as  AWS, GCP or Azure; 
  

• 2+ years of experience building out data pipelines from scratch in a highly distributed and fault-tolerant manner.
  

• 2+ years experience with Docker
  

• 2+ years experience with Git
  

• 2+ years experience with CI/CD
  

• Knowledge of REST APIs
  

• Knowledge of data structures and algorithms
  

• Solid oral and written communication skills, especially around analytical concepts and methods.
  

• Strong math skills (probability, statistics, linear algebra)
  

Nice to haves

• Knowledge of Data visualization tools (such as Tableau, Power BI, etc.)
  

Benefits

• Flexible WFH/In office hours
  

• Health Insurance