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Data Engineer III

Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Advanced SQL knowledge and experience, Experience building big data pipelines, Strong analytic skills with unstructured datasets, Proficiency in Azure PaaS and Python.

Key responsabilities:

  • Create and maintain optimal data pipeline architecture
  • Build infrastructure for data extraction and transformation
Tech Mahindra logo
Tech Mahindra XLarge http://www.techmahindra.com
10001 Employees
See more Tech Mahindra offers

Job description

JOB DESCRIPTION

Somos a Tech Mahindra, empresa do Grupo Mahindra, uma multinacional Indiana e está presente no Brasil e em +90 países. Somos mais de 120.000 profissionais que nos ajudam a conectar experiências.

A Tech Mahindra representa o mundo conectado, oferecendo experiências de tecnologia da informação inovadoras e centradas no cliente, permitindo que empresas, colaboradores e a sociedade cresçam.

Nós realmente acreditamos que a tecnologia torna isso possível, mas são as pessoas que fazem isso acontecer. Diversidade Cultural, de Gênero e de Habilidades se alinham nos nossos pilares do Rise e nos permite "Diversidade de Pensamentos", que capacita nossos stakeholders a crescer.


RESPONSIBILITIES AND ASSIGNMENTS

  • The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
  • Responsibilities for Data Engineer 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.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

REQUIREMENTS AND QUALIFICATIONS

  • Qualifications for Data Engineer Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing big data data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable big data data stores. Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Proficiency in building out scalable and reliable ETL pipelines and processes to ingest data from variety of data sources including but not limited to SharePoint, REST API, Blob Storage.
  • Proficiency in Azure PaaS offerings and data engineering target architecture, including but not limited to Azure SQL database, Azure Data Factory, Azure Synapse, Azure Databrick, Azure Functions, Data lake, Azure Log Analytics.
  • Proficiency in large dataset transformation using Python.
  • Proficiency in relational databases and SQL, including but not limited to stored procedures, indexes, functions and triggers.
  • Proficiency in Azure DevOps CI/CD and Git Repository.
  • Deep understanding in data model design and relational database normalization
  • Familiarity with Non SQL databases. E.g Cosmos DB

ADDITIONAL INFORMATION

100% WFH

Global project - Fluent English is mandatory, Spanish in nice to have

Work time: 10AM - 7PM


Quem Somos ?

Somos parte do Grupo da Mahindra, empresa no valor de 21 bilhões de dólares, que emprega mais de 240.000 pessoas em mais de 100 países. O Grupo opera nas principais indústrias que impulsionam o crescimento econômico mundial, desfrutando de uma posição de liderança em tratores, veículos utilitários, after-market, tecnologia da informação e resortes de férias.

Nossas plataformas de inovação e recursos reutilizáveis conectam-se através de uma série de tecnologias para entregar um valor tangível para os nossos clientes. 

A Tech Mahindra representa o mundo conectado, oferecendo serviços e soluções de tecnologia da informação, inovadoras e personalizadas de acordo com a necessidade de cada cliente, permitindo que empresas, parceiros e a sociedade Rise™, trabalhem juntos.


Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Portuguese
Check out the description to know which languages are mandatory.

Other Skills

  • Organizational Skills
  • Collaboration
  • Analytical Skills

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