Stefanini Brasil
Stefanini Brasil
Stefanini Brasil sniedz digitālās transformācijas un tehnoloģiju konsultāciju pakalpojumus veselības aprūpes, loģistikas, mazumtirdzniecības un rūpniecības preču nozares organizācijām. Uzņēmuma darbība aptver mākslīgo intelektu, kiberdrošību, mākoņrisinājumu ieviešanu un darbības konsultācijas. Šie pakalpojumi palīdz organizācijām modernizēt procesus, stiprināt tehnoloģiskās iespējas un uzlabot klientu pieredzi. Uzņēmumam ir desmitiem gadu ilga pieredze tehnoloģijās balstītu risinājumu nodrošināšanā sarežģītām uzņēmējdarbības vajadzībām.

Remote Data Engineer at Stefanini Brasil

Join Stefanini Brasil as a remote Data Engineer developing pipelines, data models, dashboards, and advanced analytics. Use Python, SQL, Spark, Databricks, Power BI, and related data technologies.

Apraksts

  • Analyze complex datasets to identify and interpret trends and patterns
  • Create and implement ER, star schema, and snowflake schema data models
  • Build and maintain data pipelines with Apache Airflow
  • Run advanced ETL and ELT workflows using Python, Apache Spark, Sqoop, Scala, Databricks, and SQL
  • Manage source control and delivery workflows with Azure DevOps, Git, CI/CD, and Terraform infrastructure as code
  • Work with data and platform components across AWS and Azure environments
  • Improve scripts, data components, and query performance
  • Filter and cleanse datasets using reports and performance and quality metrics
  • Prepare datasets for predictive and prescriptive modeling
  • Create and deploy data dashboards
  • Communicate insights through visualizations and data storytelling
  • Help define and document architecture roadmaps and technical standards
  • Partner with management to prioritize business and information requirements
  • Assist project teams and other department members
  • Follow procedures, legal requirements, standards, instructions, and Health, Safety, and Environmental policies

Prasības

  • Bachelor’s degree in Computer Engineering, Computer Science, Systems Analysis, or Information Systems is required
  • At least five years of professional experience
  • Advanced Databricks proficiency preferred
  • Advanced expertise in data engineering, Big Data, or analytics preferred
  • Basic English proficiency
  • Technical knowledge of data modeling, database design, and data mining
  • Ability to collect, organize, and analyze data
  • Knowledge of SQL, R, Python, Scala, and Java
  • Knowledge of Power BI
  • Understanding of data visualization and storytelling methods
  • Knowledge of agile approaches including Scrum, Lean, and Kanban
  • Basic knowledge of machine learning algorithms
  • Basic understanding of mathematical and statistical calculations
  • Knowledge of Big Data, business intelligence, data warehousing, and ETL
  • Understanding of data architecture designs
  • Knowledge of observability tools
  • Strong teamwork, interpersonal skills, commitment, organization, attention to detail, resilience, and analytical and investigative abilities

Priekšrocības

  • Meal or food allowance
  • Discounts on courses, universities, and language schools
  • Access to Stefanini Academy, offering free current online courses with certificates
  • Mentoring
  • Discount club for medical consultations and examinations
  • Medical insurance
  • Dental insurance
  • Benefits and discounts club at leading establishments
  • Travel club
  • Pet care benefits

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