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Why this grade This listing scored 45/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 14 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$126k – $163k
That is the middle half of what comparable roles paid on this board over the last 90 days — 39 listings that did publish a figure, median $140k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Data Science Mid level Full Time
Ei Engenheirx de Dados! Você tem experiência com as plataformas em nuvem AWS, Azure ou GCP, ou com as plataformas Hadoop ou Spark?
Tem experiência com entendimento, importação, higienização e manipulação dos dados, criação e implantação de pipeline de dados, e gosta de arquitetura de dados?
Quer trabalhar em um ambiente colaborativo, com desafios diferentes em uma empresa que te valoriza? Essa oportunidade é para você!
•Projetos com metodologia Ágil (Scrum)
- Desenvolvimento Phyton, Hive, Shellscript
•Banco de dados não relacionais – Hbase, Cassandra, MongoDB
•Utilização PySpark, SparkR ou PL/SQL para analise exploratória dos dados
•Extração de dados de diversas fontes como API, SFTP, Diretório Mapeado e com banco de dados como SQL e No-SQL
•Preparação dos dados para modelagem preditiva e prescritiva
•Integração das plataformas de visualização de dados com Cloud
Desenvolvemos soluções tecnológicas e de inteligência de dados aplicadas ao negócio e ao desenvolvimento das pessoas. A nossa essência é estruturar e acelerar a implantação da cultura data driven nas organizações. O nosso propósito é empoderar as pessoas por meio dos dados.
Site:
Originally posted on Himalayas
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Where this listing came from
- 23 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.