Jobs Data Analyst Google Cloud Platform

Estás son las últimas ofertas de trabajo de Data Analyst Google Cloud Platform encontradas.

 job(s)

  • 27/01/2023

    Amazonas, Antioquia, Arauca, Atlántico, Bolívar, Boyacá, Caldas, Caquetá, Casanare, Cauca, Cesar, Chocó, Córdoba, Cundinamarca, Guainía, Guaviare, Huila, La Guajira, Magdalena, Meta, Nariño, Norte de Santander, Putumayo, Quindío, Risaralda, Santander, Sucre, Tolima, Valle del Cauca, Vaupés, Vichada, San Andrés, Providencia y Santa Catalina, Bogotá

    N-iX is looking for passionate and motivated Data Engineer to join our team. Our customer is the multicloud solutions expert. They combine their expertise with the world's leading technologies-across applications, data and security- to deliver end-to-end multicloud solutions. As a global, multicloud technology services pioneer, they deliver the innovative capabilities of the cloud to help customers build new revenue streams, increase efficiency and create incredible experiences. Role: Data Engineer Requirements: Strong experience in building data engineering solutions using GCP BigQuery. 1+ years of development experience with Python. ​Strong experience in SQL / NoSQL technologies and deep familiarity with dimensional modeling and Data warehousing concepts. Expertise in workflow scheduling and orchestration frameworks such as Airflow or Oozie. Upper-Intermediate level of English. Responsibilities: Building Data Lake/DataWarehouse solution using GCP BigQuery. We offer: Flexible working hours. A competitive salary and good compensation package. Best hardware. A masseur and a corporate doctor. Healthcare & sport benefits. An inspiring, comfy, clean and safe office. Professional growth. Challenging tasks and innovative projects. Meetups and events for professional development. An individual development plan. Mentorship program. Labor Conditions: Workplace: Colombia - Remote. Type of Contract: indefinitely. Salary: to be agreed according to experience. This vacancy is disclosed through ticjob.co

  • 26/01/2023

    Amazonas, Antioquia, Arauca, Atlántico, Bolívar, Boyacá, Caldas, Caquetá, Casanare, Cauca, Cesar, Chocó, Córdoba, Cundinamarca, Guainía, Guaviare, Huila, La Guajira, Magdalena, Meta, Nariño, Norte de Santander, Putumayo, Quindío, Risaralda, Santander, Sucre, Tolima, Valle del Cauca, Vaupés, Vichada, San Andrés, Providencia y Santa Catalina, Bogotá

    N-iX is a software development service company that helps businesses across the globe develop successful software products. During 20 years on the market and by leveraging the capabilities of Easter Europe talents, the company has grown to 2000+ professionals with a broad portfolio of customers in the area of Fortune 500 companies as well as technological start-ups. With its headquarters in Lviv, Ukraine, the company also has multiple development offices in the East European region and representative entities in the United States of America, Sweden, and Malta. Within the role of the Cloud Data Engineer you will work with a primary focus on delivering data platform footprint, as an expansion of our client's cloud presence, enabling key initiatives such as our Digital Banking. You will be working with several teams in the organization in a collaborative manner, helping deliver data related components by leveraging automation to deliver self-service components as much as possible. You will be part of a team that drives the implementation of data components such as pipelines, applications, sanitation, supporting our data scientists and working with the rest of the product teams while collaborating with the architecture team, influencing the design and delivery of our data footprint and striving for greater functionality in our data systems. Rol: Data Engineer Requirements: At least 5 or more years of experience working in the data engineering field: Proficiency in SQL language. Strong knowledge of Python language. Experience in optimization of high volume ETL processes. Experience with any of the popular Clouds (GCP, AWS, Azure). Good knowledge in Message Broker systems (e.g., Kafka, PubSub). Google GCP data platform (Dataflow, Dataprep, Cloud Composer, BigIGQuery, CloudSQL) knowledge and experience is an asset, or knowledge of the equivalent open source toolset behind those products. Upper-intermediate level of English. Nice to have: Good knowledge of popular data standards and formats (e.g, JSON, XML, Proto, Parquet, Avro, ORC, etc). Data modelling skills. GCP Data Engineering Certification preferred. Responsibilities: Create and maintain optimal data pipeline architecture Assemble large, complex data sets that meet functional / non-functional business requirements Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Optimally extract, transform, and load data from a wide variety of data sources using SQL and Google Cloud data technologies Collaborate with the team to decide on which tools and strategies to use within specific data integration scenarios Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs Develop and maintain code and documentation for ETL and other data integration projects and procedures Monitor and anticipate trends in data engineering, and propose changes in alignment with organizational goals and needs Share knowledge with other teams on various data engineering or project related topics We offer: Flexible working format - remote, office-based or flexible. A competitive salary and good compensation package. Flexible and personalized career growth. Professional development tools (mentorship program, tech talks and training, centers of excellence, and more). Active tech communities with regular knowledge sharing. Education reimbursement. Paid vacation days, sick leaves, and days off. Healthcare & Sport program. Medical insurance. Memorable anniversary presents. Corporate events and team buildings. Labor Conditions: Workplace: Colombia - Remote. Type of Contract: indefinitely. Salary: to be agreed according to experience. This vacancy is disclosed through ticjob.co

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