Responsibilities

This will include design, implement, and maintain digital solutions for PBNA sector. The role is responsible for:

• 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 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.
• Build data ingest and data transformation infrastructure.
• Identify transfer learning opportunities and new training datasets.
• Build data ingest and data transformation infrastructure.
• Manage own tasks and works with allied team members; plans proactively, anticipates, and actively manages change, sets stakeholder expectations as required, identifies operational risks and independently drives issues to resolution, minimizes surprise escalations
  
  

Qualifications

A Bachelor's degree in Computer Science, Engineering, or related field.

3+ years experience in programming and development projects.

2+ years experience in database programming.

• Strong experience in Microsoft Azure and Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C(, Scala, etc.
• Experience in ETL tools including Azure Data Factory
• Experience in Azure Data Lake, Azure SQL, Azure Synapse
• Strong SQL, Data querying, and Data analysis skills (Added value SparkSQL) Experience working with diverse set of data sources and off-the shelf/enterprise/bespoke applications
• Experience in Azure Stream Analytics, Azure Analysis Service, Azure Data Catalog, ML Studio
• Experience in Python/JSON (Added value)
• Experience with DevOps tools such as Azure DevOps, GitLab, Jenkins
• Familiarity with business context and/or relevant technologies
• Experience in conducting trainings
• Practical knowledge of SAFe tools in the functioning of developer teams
• Knowledge of a variety of Agile-related approaches including XP, Kanban, Lean Startup, Design Thinking
• Solid understanding of the promotion, deployment, and release processe
• Deep knowledge of business area
• Experience in supporting solution deployments and releases