Data Analytics Engineer III
New
Australia, Canada, France, Germany, United Kingdom, United StatesFull-TimeSenior
Salary82,931.74 - 114,031.14 USD per year
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Job Details
- Experience
- 5 years Building data pipelines, 3 years SQL development, 2 years Cloud data platforms
- Required Skills
- PythonSQLETLCI/CDDevOpsDatabricksPySpark
Requirements
- Bachelor's Degree in Business, Computer Science, Engineering, Information Systems, Public Health, or related field.
- 5 years of experience building data pipelines using ETL technologies such as SSIS or Informatica.
- 3 years of SQL development experience with SQL Server or Oracle environments.
- 2 years of experience with cloud data platforms and tools such as MS Azure, AWS, or GCP.
- Deep understanding of modern data architectures, including lakehouse design patterns.
- Hands-on experience with Azure data platforms including ADLS, Azure Data Factory (ADF), and Databricks.
- Proficiency in Python and PySpark for data pipelines and distributed processing.
- Experience designing and implementing metadata-driven, scalable data pipelines.
- Proficiency with DevOps and DataOps practices, including CI/CD and cloud infrastructure.
- Experience integrating data using APIs and modern connectivity patterns.
Responsibilities
- Design and create tables within data marts, data lakes, and data warehouses.
- Manage all extraction, transformation, and load (ETL) functions.
- Build systems to collect, manage, and convert raw data into usable information.
- Expand and optimize data and data pipeline architecture for cross-functional teams.
- Mentor junior data engineers and promote data education across the organization.
- Investigate data to identify and propose solutions for issues within ETL pipelines.
- Conduct testing of the warehousing and database environment.
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