Data Engineer

Industry: Technology
Company size: 51-250

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Job description

A US-based company developing efficient solutions intended to serve and empower seniors and individuals living with disabilities is looking for a Data Engineer. The selected candidate will be documenting the existing data flows and executing a plan to rebuild them. The purpose-driven, venture-funded technology company promotes family and community participation while enabling smarter living environments and healthier lives. The company has managed to raise $30mn+ in funding so far. The engineer will collaborate efficiently with the product management, operations, and other engineers to build high-value solutions.


Job Responsibilities:

  • Recreate data connectors, ETL jobs, and dashboards currently in use
  • Develop databases and data pipeline/ETL using modern technologies and tools
  • Assist the team in developing operationally efficient analytic solutions
  • Define standards and methodologies for the data warehousing environment
  • Develop easy to scale data pipelines using the latest tools and technologies like AWS, Snowflake, Spark, Kafka to induct data from various systems
  • Transform requirements into scalable technical solutions capable of meeting data warehousing design standards
  • Build data pipelines and ETL applications that support business operations in advertising, content, and finance/accounting
  • Collaborate to decipher data migration issues and improve 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
  • Thorough knowledge of building scalable data systems and data-driven products while working with cross-functional teams
  • Expertise in utilizing Python, SQL, Apache Airflow, Snowflake, DBT, and Amazon Quicksight
  • Must be able to build data pipelines and ETL applications with large data sets
  • Ability to build REST APIs for back-end services
  • Must possess knowledge of implementing, testing, debugging, and deploying data pipelines using tools like Perfect, Airflow, Glue, Kafka, Serverless (Lambda, Kinesis, SQS, SNS), Fivetran, or Stitch Data/Singer
  • Professional experience of working with Cloud data warehousing technologies such as Redshift, BigQuery, Spark, Snowflake, Presto, Athena, and S3
  • Experience with SQL DB administration (PostgreSQL, MS SQL, etc.)
  • Understanding of complex, distributed, microservice web architectures
  • Experience with Python back-end, ETL to move from one database to another
  • Solid understanding of analytics needs and proactive-ness to build generic solutions to improve the efficiency

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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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