Senior Data Engineer

April 24

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IDT BY INDET GROUP

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LABEL MAKERS & GLOBAL SERVICES

Hangtags • Leather • Woven labels • Fake leather • Gadgets

201 - 500

Description

• Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems. • Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve. • Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way. • Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership. • Design, build and launch new data models and visualizations in production, leveraging common development toolkits. • Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries. • Support existing processes running in production and implement optimized solutions with limited guidance. • Define and manage SLA for data sets in allocated areas of ownership.

Requirements

• Strong technical accomplishments in SQL and data analysis skills. • Familiarity with Python, Go, Java or another OOP language. Most of our tools are primarily built in Python. • Experience with GCP/AWS or other cloud providers is preferred. • Familiarity with additional transformation platforms like Apache Spark. • Experience with databases such as BigQuery, Redshift, or Snowflake. We use Athena and Redshift here at IDT. • Experience with visualization technologies like Looker, Tableau, or Qlik Sense. • Familiarity with ETL orchestration tools like Apache Airflow and Google Dataflow.

Benefits

• Remote work opportunity! • A relevant benefits package. • B2B Employment.