Integration Specialist

2 semanas atrás


São Paulo, São Paulo, Brasil DATASIDE Tempo inteiro

Responsibilities:

  • Conceptualize the solution for the business problem by implementing warehousing and programming techniques
  • Build end to end products utilizing Azure Dev Ops
  • Full responsibility for quality of code the team is responsible.
  • Participate in the development and evangelization of the Python coding standards within the organization.
  • Full responsibility for delivering solutions into production (working through operations teams).
  • Responsible for training and mentoring developers on the team.
  • Works with Technical Project Management to create and maintain the prioritized backlog and schedule for the team.
  • Responsible for architectural decisions with consultation from other members of engineering leadership.
  • Document every aspect of the project in standard way, for future purposes
  • Storyboarding and presenting the insights to senior leadership
  • Leading team of Data Engineers and should be able to guide

Mandatory Requirements:

  • 812 years in programming (python) and data engineering and design.
  • Proficient in Restful APIs with Strong Python programming experience.
  • Experience with managing multiple Python virtual environments (pip, conda).
  • Architect implement medium to large scale solutions (endtoend) on Azure using Azure Data Platform services (Azure Data Lake, Data Factory, Data bricks).
  • Experience in developing data engineering solutions in Azure for Enterprise Data Management utilizing Spark, process orchestration, logging and auditing frameworks.
  • Experience in development and implementation of ETL solutions using PySpark, Azure Data Factory and Azure data bricks.
  • Experience working with large amounts of real data with SQL (HP Vertica, Synapse, Teradata, Oracle, or MySQL) and Python.
  • Experience in Airflow
  • Capable of building insightful visualizations in Power BI, Python (Good to have).
  • Should have knowledge and experience in working with APIs (REST, SOAP).
  • Capable of building/developing custom connectors to connect and retrieve information required for databases via. JDBC, ODBC and systems through open source APIs custom as may require.
  • Experience with Azure cloud platform.
  • Should have knowledge and experience in continuous integration and delivery (CI/CD) of Azure data factory pipelines in Azure DevOps, GitHub.
  • Should have knowledge and experience in SDLC lifecycle, have worked in Agile environment.
  • Propose architectures considering cost/spend in Azure and develop recommendations to rightsize data infrastructure.
  • Should possess tech lead capabilities and manage other DEs and should be able to guide the team and face customer for any queries
-
IT skills required

  • Languages (Python); good to have knowledge on Java.
  • Azure (Azure Data Factory, Azure Databricks, Azure Functions, Logic App, Azure Data Lake, Azure Event hub, Delta Lake house, Azure SQL) Python, PySpark, Spark, Hive, Azure DevOps, Bash-Shell, Powershell, Datawarehouse, NoSQL (CosmosDB))
  • Visualization tool ? Power BI
  • GitHub, Azure DevOps, Git, pip/conda repositories
  • Enterprise security patterns (Kerberos, SAML, OAUTH).
  • Airflow
  • Fluent English


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