About Turing.com:
Turing’s mission is to unleash the world’s untapped human potential. We use AI to source, evaluate, hire, onboard, and manage engineers remotely (including the HR and compliance aspects) in a bigger platform that we call the “Talent Cloud”.
We recently achieved unicorn status with a valuation of $1.1B, after raising over $140M in financing over four rounds of funding. 900+ companies including companies like Johnson & Johnson, Pepsi, Dell, Disney +, and Coinbase have hired Turing developers.
About the role:
We, at Turing, are looking for talented data engineers who can build and maintain scalable data pipelines and data architecture for streamlined data processing and reporting infrastructure that powers company-wide insights and technical intelligence. Get an opportunity to work with the leading U.S. companies.
Job responsibilities -
- Architect and implement database and data pipeline that meets the business demands
- Extract, transform, and load data from distributed data sources
- Develop and maintain operationally efficient analytic solutions
- Utilize tools such as AWS, Snowflake, Spark, and Kafka in order to develop highly scalable data pipelines
- Work closely with cross-functional teams and translate complex business requirements into technical specifications
- Participate in data migration, address issues, and recommend improvements
- Define standards and ensure the solution meets data warehousing design standards
Job requirements -
- Bachelor’s/Master’s degree in Computer Science, IT (or equivalent experience)
- 3+ years of experience working as a data engineer (rare exceptions for highly skilled developers)
- Ability to work with large data sets, create data pipelines and ETL applications
- Past experience with designing, implementing, testing, debugging, and deploying data pipelines
- Proficiency with data warehousing tools like - Prefect, Airflow, Glue, Kafka, Serverless(Lambda, Kinesis, SQS, SNS), Fivetran, or Stitch Data/Singer
- Knowledge of database design and data modeling
- Strong grip over statistical programming languages such as Python, R, MATLAB
- Fluency in English for effective communication
- Ability to work full-time (40 hours/week) with a daily 4 hour overlap with US time zones
