Mantenimiento programado: martes 01 de julio, a las 02:00 UTC. Duración estimada: 30 minutos
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Talkpush

Data Warehouse Engineer en Talkpush

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About Talkpush
Talkpush is the first conversational recruitment software. It is designed to make recruitment faster, more real-time, more conversational, and to get AI bots to work for recruiters. Talkpush is used all over the world by customers such as Accenture, Amazon, Citibank, McDonald's, Walmart, and many more.
Stanley, the first of its kind recruitment conversational assistant operating on Messenger, is already processing over a million candidates every year. Talkpush's CRM facilitates the handover from bot to human better than any other, reducing the time it takes to connect candidates to recruiters to minutes when it used to take days.
Talkpush is a VC-backed software company, was founded in 2014 by serial entrepreneur Max Armbruster and received backing from 500 Startups, Seedcamp, and other strategic investors.

Postula sin intermediarios a través de Get on Board.

Job functions

Data Warehouse Engineer
We are looking for a savvy Data Warehouse Engineer to join our growing team of analytics experts. The role requires a deep knowledge of data gathering, analysis, mapping, extraction, transformation and manipulation, cleansing, execution, and loading including experience in data validation by collaboration with the team and clients.

Candidates must have the following technical skills:

  • Familiarity with Python 3.XX++
  • Complex SQL Knowledge
  • Familiarity with Optimization of SQL Tables
  • ETL and Data Pipeline Process
  • Data Warehouse Management
Skills:
  • Familiarity and experience in data warehouse and python scripting in collaboration with BI Developers
  • College degree holder
  • Experience with using data tools in converting, processing, and transforming different file formats (e.g CSV, JSON, parquet, XML)
  • Proficiency in an object-oriented or functional paradigm such as Java, Python
  • Experience working in Agile
  • Ability to work autonomously
  • Has good analytical skills, quality-oriented, has an eye for detail, and critical thinker

Any of the below would be advantageous:

  • AWS core services: EC2, S3, PostgreSQL/ Data Analytics
  • Python Pandas, SQLAlchemy, Psycopg2, Airflow
  • Experience with control repository hosting service (Git / BitBucket)
  • Experience with Docker
  • API Knowledge

GETONBRD Job ID: 20469

Condiciones

Horario flexible Entrada y salida flexibles, libertad para realizar trámites personales o familiares.
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