Description review

Data Quality/ETL Specialist - FULLY REMOTE - Employee in USD

goPro Consultancy Group ltd. · United States · back to the listing

HR standards

65/100

needs work

Title ↔ description

75/100

solid

Reads as

Data Engineer

100% confident

How others title the same work

Large employers

  • Senior Software Engineer - Data Platform Coinbase
  • Senior Security Data Engineer Doordash
  • Data Engineer, Product Analytics Meta
  • Senior Staff Data Engineer Mozilla
  • Staff, Analytics Engineer, GTM Data Science & Analytics Twilio

Startups

  • Senior Data Engineer Camber
  • Cardog | Toronto, Canada or REMOTE | Full-time Cardog
  • Connie Health | Senior Analytics Engineer | Boston, MA | HYBRID | $150k-$185k + equity Connie Health
  • DoubleVerify (DV Scibids) | Sr. Data Engineer I | ONSITE/HYBRID - New York, NY (3x/week) | Full-time | $89K–$178K DoubleVerify (DV Scibids)
  • Forecasting Research Institute (FRI) | Data Engineer | REMOTE | Full-time Forecasting Research Institute (FRI)

What the listing never says

  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Category: IT Services

Location:

For an international organization in New York, we are urgently looking for a REMOTE Data Quality/ETL Specialist with MEAN stack framework experience. Candidates need to be fluent in English. All positions are long-term. This position is open for contractors and employees.

Candidates need to be able to work 4-6 hours per day in the normal office hours of New York, US.

Tasks and responsibilities:

​

• Work with an agile team to design and implement ETL (Extract, Transform, and Load) processes;

• Translate design specifications and functional requirements into ETL processes;

• Data import, transformation and loading to data lakehouse from MongoDB;

• Merge code into shared repositories, validate code, and perform quality assurance;

• Implement data quality measures to ensure accuracy of data loaded into data lakehouse;

Profile:

• +2 years of experience working with AWS ETL and data quality tools;

• Experience designing and implementing ETL pipeline;

• Experience with data cleansing and deduplication methods;

• Experience with MEAN stack framework;

• Experience with ensuring data accuracy and ETL testing;

• Experience with Kafka or other similar large-scale messaging technologies;

• Knowledge and understanding of SDLC and Agile/Scrum procedures, CI/CD and Automation;

• Fluent in English;

Offered:

• A challenging role for an international organization in New York;

• Attractive salary package;

Interested: Please send your CV to

DetailsOriginally posted on Himalayas