Hybrid Data Engineer

Posted 14 hours ago

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About the role

  • Data Engineer responsible for designing, building, and optimizing data pipelines and architectures in a tech environment. Requires extensive experience with modern data warehousing and cloud platforms.

Responsibilities

  • Design, develop, and maintain robust data pipelines and ETL processes.
  • Work with large-scale datasets using modern data warehousing solutions like Snowflake.
  • Develop and optimize SQL queries for data transformation and analysis.
  • Implement and manage data solutions on AWS cloud platform.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
  • Ensure data quality, integrity, and security across systems.
  • Monitor and troubleshoot data pipeline performance issues.

Requirements

  • 5–8 years of experience
  • Strong experience in DBT (Data Build Tool)
  • Hands-on experience with Snowflake
  • Proficiency in SQL
  • Experience working with AWS Cloud services (S3, Lambda, EC2)
  • Knowledge of Python (Good to Have)
  • Experience with PySpark (Good to Have)
  • Familiarity with Databricks (Good to Have)

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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