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