Data Engineer AWS - Senior Associate - Operate
Data Engineer AWS - Senior Associate - Operate
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Managed ServicesManagement Level
Senior AssociateJob Description & Summary
At PwC our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations reduce costs and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management technology and process optimization to deliver highquality services to clients.Those in managed service management and strategy at PwC will focus on transitioning and running services along with managing delivery teams programmes commercials performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process tools and services.
Focused on relationships you are building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations you are growing your personal brand deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients and to deliver quality. Embracing increased ambiguity you are comfortable when the path forward isnt clear you ask questions and you use these moments as opportunities to grow.
Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:
- Respond effectively to the diverse perspectives needs and feelings of others.
- Use a broad range of tools methodologies and techniques to generate new ideas and solve problems.
- Use critical thinking to break down complex concepts.
- Understand the broader objectives of your project or role and how your work fits into the overall strategy.
- Develop a deeper understanding of the business context and how it is changing.
- Use reflection to develop self awareness enhance strengths and address development areas.
- Interpret data to inform insights and recommendations.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firms code of conduct and independence requirements.
Job Profile Name:
Data Engineer Offshore Tera Data data stage AWS Data Bricks SQL Delta Live tables Delta tables Spark Kafka Spark Streaming MQ ETL
Senior Associate
Job Title:Data Engineer Offshore
KEY SKILLS Tera Data data stage AWS Data Bricks SQL Delta Live tables Delta tables Spark Kafka Spark Streaming MQ ETL
Summary: We are seeking an experienced Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering and be proficient in a variety of data technologies including Teradata DataStage AWS Databricks SQL and more. As a Data Engineer you will be responsible for designing implementing and maintaining scalable data pipelines and systems that support our datadriven initiatives.
Minimum Degree Required: Bachelors degree in computer science/IT or relevant field
Degree Preferred: Masters degree in computer science/IT or relevant field
Minimum Years of Experience: 6 9 year(s)
Certifications Required: NA
Key Responsibilities:
Design develop and maintain scalable ETL pipelines using DataStage and other ETL tools.
Leverage AWS cloud services for data storage processing and analytics.
Utilize Databricks to analyze process and transform data ensuring high performance and reliability.
Implement and optimize Delta Live Tables and Delta Tables for efficient data storage and querying.
Work with Apache Spark to process large datasets ensuring optimal performance and scalability.
Integrate Kafka and Spark Streaming to build realtime data processing applications.
Collaborate with crossfunctional teams to gather requirements and deliver data solutions that meet business needs.
Ensure data quality integrity and security across all data systems and pipelines.
Monitor and troubleshoot data workflows to ensure smooth operations.
Document data processes architecture designs and technical specifications.
Qualifications:
Bachelors degree in Computer Science Information Technology or a related field.
Proven experience as a Data Engineer or in a similar role.
Strong proficiency in SQL and experience with relational databases such as Teradata.
Handson experience with AWS services such as S3 EMR Redshift and Lambda.
Proficiency in using Databricks for data engineering tasks.
Experience with Delta Live Tables and Delta Tables in a data engineering context.
Solid understanding of Apache Spark Kafka and Spark Streaming.
Experience with messaging systems like MQ is a plus.
Strong problemsolving skills and attention to detail.
Excellent communication and collaboration skills.
Preferred Skills:
Experience with data warehousing and big data technologies.
Familiarity with data governance and data security best practices.
Certification in AWS or Databricks is a plus.
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Optional Skills
Accepting Feedback Accepting Feedback Active Listening Analytical Thinking Automation Automation Framework Design and Development Automation Solutions Budgetary Management Business Process Automation (BPA) Business Process Improvement Business Process Outsourcing Business Transformation Communication Continuous Process Improvement Creativity Data Quality Automation Deliverable Planning Delivery Excellence Design Automation Digital Transformation Embracing Change Emotional Regulation Empathy Inclusion Intellectual Curiosity 24 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Up to 20Available for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
April 25 2025Required Experience:
Senior IC
Employment Type
Full-Time
