Lead Engineer -Data Engineering

Job description

Overview

This role will be supporting technical development within PBNA Data and Digital Solutions.

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
Excellent collaboration skills
Strong problem-solving and analytical skills.
Strong attention to detail.