Data Engineer

Industry: Technology
Remote
Company size: 51-250
Full-time
Not disclosed

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Job description

An emerging company that works with financial institutions, banks, NBFCs, and digital lending organizations to increase the efficiency of their collection efforts is looking for a Data Engineer. The selected candidate will be responsible for ensuring that the developed platforms meet standards set for reliability, security, scalability, and cost-effectiveness. Major banks and NBFCs are among the company's clients, allowing them to increase their NPA, geographic reach, and customer experience in a cost-effective manner. The company uses technology, automated intelligence, and the most efficient legal channels to resolve stressed assets. During their Series A round, the company managed to raise more than $28mn in funding. 

  

Job Responsibilities:

  • Work with functional programming languages like SQL and Python to conduct data analysis 
  • Build and maintain modern machine learning production systems
  • Extract, transform, and stage data for data scientists using data querying tools
  • Update senior team members and junior business partners about moderately complex business analytics
  • Work with limited mentorship of data scientists on feature generation
  • Thoroughly test checks and balances to ensure data accuracy
  • Build ongoing mechanisms for visualizing results of the model

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a Data Engineer
  • Must possess experience in working with database technology such as Hadoop, EMR, Redshift, Spark, or Scala and one ML model implementation
  • Expertise in coding using Python, Shell, or SQL
  • Must have a thorough understanding of scalable model training leveraging big data platforms
  • Strong base in working with ML libraries/frameworks like Tensorflow, AWS Sagemaker, Keras, etc.
  • Should be able to script ETL jobs and configure real-time data pipelines
  • Professional experience of working with parallel processing data technologies like Spark or Hadoop 
  • Understanding of orchestration tools like Apache Airflow
  • Prior experience of working on highly available distributed systems of data extraction, ingestion, and processing of large data sets
  • Excellent business and interpersonal skills to collaborate with major stakeholders 

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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