Data Engineer

Industry: Finance
Company size: 11-50

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Job description

A global, value-oriented, and event-driven hedge fund specializing in healthcare and consumer-goods industries is looking for a Data Engineer. The selected candidate will be working with a team of experienced engineers and responsible for various tasks to build a scalable product. The US-based company invests predominantly in equities and can be opportunistic across the capital structure. This is a great opportunity for developers who enjoy tackling complex compelling data and problems. This role requires some overlap with the EST time zone. 


Job Responsibilities:

  • Design database and data pipeline/ETL using emerging technologies and tools
  • Motivate the team to develop sound analytic solutions
  • Define standards and methodologies for the Data Warehousing environment
  • Design and build highly scalable data pipelines 
  • Leverage new generation tools and technologies like AWS, Snowflake, Spark, Kafka to induct data from various systems
  • Translate complex business requirements into scalable technical solutions 
  • Build scalable data pipelines and ETL applications that support business operations
  • Assist with deciphering data migration issues and improving system performance
  • Collaborate efficiently with product management, technical program management, operations, and other engineers

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 professional experience working languages like Python
  • Should be familiar with Pandas and SQL connectors along with knowledge of parsing files, writing classes, and common libraries
  • Should be capable of working with technologies like SQL along with an understanding of s3, EFS, awscli, boto3, EC2, EMR, and Batch
  • Ability to contribute to ETL pipeline processes
  • Knowledge of writing modular codes to improve unit tests
  • Ability to work with technologies like Docker and Apache Airflow is required

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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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