Data Engineer

Industry: Other
Company size: 11-50

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Job description

A U.S.-based company reshaping the way organizations think and drive their business is looking for a Data Engineer. The engineer will be responsible for creating functional solutions and approaches to problems while ensuring proper implementation. The company provides financial and business advisory services that cover a broad range of consulting solutions. This is a nice opportunity for developers to make a name for themselves and drive innovative projects.


Job Responsibilities:

  • Provide end-to-end functional software landscape and solution design to support the company’s business processes
  • Evaluate requirements and translate them to business processes
  • Provide direction to the implementation teams and work as intermediaries across the local and onshore teams
  • Standardize and implement code branching strategy
  • Enable developers with automation of deployments and testing frameworks
  • Document, implement and audit security and access permissions for the data platform
  • Follow and implement CI/CD and data pipelines for cloud data platform
  • Participate in driving engineering best practices around software development processes

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of experience creating data pipelines in Python
  • A minimum of 2+ years of experience in creating data pipelines using PySpark in Databricks
  • At least 2+ years of experience in SQL
  • 3+ years of experience designing, building and maintaining ETL/ELT data pipelines
  • A minimum of 3+ years of experience leveraging, designing and building dimensional modeling
  • Experience creating and supporting a complete ELT/ETL pipeline
  • Knowledge of data movement tools, data stores, and cloud-based environments
  • Demonstrable experience building and supporting a modern next generation data warehouse platform
  • Solid understanding of data modeling and architecture 
  • Exposure to and support of downstream data usages for visualization and data science
  • Ability to explain complex technical challenges to technical and business audiences
  • Extensive knowledge of release/change management process
  • Working experience with Scrum and Agile methodologies with geographically distributed teams
  • Experience as DevOps skill is a plus
  • Knowledge of AWS IAM and security policy management and service configurations and compliance management
  • Experience with managing and scaling cloud data warehouse (Snowflake) 
  • Experience with AWS ecosystem – S3, Amazon RDS, Amazon ML ecosystem
  • Experience in GitHub integration and CI/CD pipeline development
  • Experience using orchestration tools like Apache Airflow
  • Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar
  • Excellent English communication and interpersonal skills

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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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