Data Engineer

Overview

Remote
Depends on Experience
Contract - W2
Contract - 9 Month(s)

Skills

Data Engineer
Data Warehouse Engineer
Analytics Engineer
pipeline tools
dagster
airflow
dbt
databases
backend
aws
python

Job Details

Data Engineer

6+ month contracts

Remote role

Looking for independent consultant who don t required sponsorship( W2 like and no H1B)

We are looking for someone who has experience with pipeline tools (e.g. dagster, airflow), dbt, databases, backend, aws and python.

Responsibilities:

  • Be a technical lead in the development of high volume platforms to drive decisions and have a tangible beneficial impact on our clients and on Indeed s business results
  • Design and implement efficient data pipelines (ETLs) in order to integrate data from a variety of sources into Indeed s Data Warehouse
  • Design and implement data model changes that align with warehouse standards
  • Design and implement backfill or other warehouse data management processes
  • Develop and execute testing strategies to ensure high quality warehouse data
  • Provide documentation, training, and consulting for data warehouse users
  • Perform requirement and data analysis in order to support warehouse project definition
  • Provide input and feedback to support continuous improvement in team processes Qualifications
  • 5+ years in a Data Engineering or Data Warehousing role
  • 2+ years coding experience (python, java, scala)
  • 2+ years hands on experience with big data technologies (Google BigQuery, Snowflake, Redshift, or similar technologies)
  • Master s Degree (or a B.S. degree with relevant industry experience) in math, statistics, computer science, or equivalent technical field
  • Expert level understanding and experience of ETL fundamentals and building efficient data pipelines
  • Expert level experience of building data platforms and BI tools to maximize business insights and self service
  • Understanding of Kimball design (star schema) or other methodologies desired
  • Strong communication and collaboration skills
  • Experience with Agile methodologies
  • Experience with Cloud environments implementations (Google Cloud Platform, AWS, other) Titles that candidates may have
  • Data Engineer
  • Data Warehouse Engineer / Developer / Architect
  • Analytics Engineer