Data Engineer - Manager - CAN Client
AAC Olivos, Argentina
PwC
We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.Line of Service
Internal Firm ServicesIndustry/Sector
Not ApplicableSpecialism
IFS - Internal Firm Services - OtherManagement Level
ManagerJob Description & Summary
At PwC, our people in information technology operations focus on managing and maintaining the technology infrastructure and systems to provide smooth operations and efficient delivery of IT services. This includes monitoring network performance, troubleshooting issues, and implementing security measures.In IT asset management at PwC, you will focus on managing and optimising the lifecycle of technology assets, confirming compliance with licensing agreements, and minimising costs. Your work will involve experience in inventory management, software licensing, and vendor relationship management.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Analyse and identify the linkages and interactions between the component parts of an entire system.
- Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
- Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
- Develop skills outside your comfort zone, and encourage others to do the same.
- Effectively mentor others.
- Use the review of work as an opportunity to deepen the expertise of team members.
- Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
As a Data Engineer in the CDAO team's Data Engineering and Architecture pillar, you'll lead data engineering tasks and contribute to various projects. You'll work with cross-functional teams to design, deploy, and maintain scalable data pipelines and infrastructure, ensuring they meet business goals and comply with data governance and compliance standards.
Major Responsibilities
- Data ingestion/data integration from a variety of data sources and enterprise applications
- Manage diverse range of integration patterns: batch, stream, API/microservices
- Data modelling and platform operations
- Support management reporting and BI dashboards
- CI/CD and DevOps processes
- Contribute to data architecture and data strategy initiatives
- Assisting in the development of practices in data management including master, reference, metadata, data quality, data protection, data life cycle management aligned to data governance model deployed
Minimum years experience required & specialized knowledge
- 3+ years of experience as a data engineer in an enterprise setting
- Experience working with a variety of data and analytic platforms, databases, analytic/BI tools, cloud experience preferred (Azure)
- Manage data engineering activities across projects and operational pillars, including CI/CD, DevOps, platform operations
Technical skills
- Data integration/data ingestion across structured and unstructured data sources, along with various enterprise applications
- Expertise with multiple integration/ETL patterns: batch, streaming, API/microservices
- Familiarity with modern data architecture and platforms: cloud, data mesh, data lakehouse, data warehouse
- Advanced knowledge of SQL language, proficiency with Python, Scala or Java
- Persistence such as RDBMS/NoSQL data stores and appropriate use cases;
- Containerization, and experience in using Docker and/or Kubernetes
- Familiarity with data modelling and schema design for a range of consumption use-cases, including BI dashboards
- Data engineering or data architecture experience in a cloud native environment, MS Azure preferred
- Knowledge of Spark framework, practical experience with PySpark/SparkSQL, platforms such as Databricks, MS Fabric
- Experience with GenAI/LLM technologies strongly preferred
- Nice to have: experience deploying machine learning solutions to production environments
Required Knowledge/Skills
Oral and written proficiency in English required
Understand the importance of have a correct information management
Knowledge of Information Security and Data Protection
Correct Information Security Management
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor DegreeDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Asset Management, Asset Management Operations, Business Requirements Analysis, Coaching and Feedback, Communication, Contract Lifecycle Management, Cost Management, Cost Reduction, Creativity, Customer Management, Customer-Support, Cybersecurity, Data Protection Management (DPM), Embracing Change, Emotional Regulation, Empathy, Incident Management, Inclusion, Information Technology Applications, Intellectual Curiosity, Inventory Control Systems {+ 38 more}Desired Languages (If blank, desired languages not specified)
EnglishTravel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Azure CI/CD Databricks Data governance Data management Data pipelines Data quality Data strategy Data warehouse DevOps Docker Engineering ETL Generative AI Java Kubernetes LLMs Machine Learning Microservices NoSQL Pipelines PySpark Python RDBMS Scala Security Spark SQL Streaming Unstructured data
Perks/benefits: Career development
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