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ETIC, Data Engineer, Associate

FULL TIME
On-site
👤 Posted by Azam Rafique
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Processing fees*: PKR 500
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* Processing fee shown above. Additional fees may apply:

  • For postal application within Pakistan: Additional PKR 300
  • Demand drafts, challans, or other requirements: Applicant's responsibility
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

Eligibility / Qualification Required:

  • Education: No specific degree or field of study is explicitly required or preferred in the provided text.
  • Certifications: No specific certifications are mentioned.
  • Required Skills: No specific required skills are mentioned beyond the general expectations listed below.
  • Optional Skills:
    • Accepting Feedback
    • Active Listening
    • Agile Scalability
    • Amazon Web Services (AWS)
    • Apache Airflow
    • Apache Hadoop
    • Azure Data Factory
    • Communication
    • Data Anonymization
    • Data Architecture
    • Database Administration
    • Database Management System (DBMS)
    • Database Optimization
    • Database Security Best Practices
    • Databricks Unified Data Analytics Platform
    • Data Engineering
    • Data Engineering Platforms
    • Data Infrastructure
    • Data Integration
    • Data Lake
    • Data Modeling
    • Data Pipeline
    • Data Quality
    • Data Strategy
  • Desired Languages: No desired languages are specified.
  • General Skills, Knowledge, and Experiences expected at this level include:
    • Apply a learning mindset and take ownership for your own development.
    • Appreciate diverse perspectives, needs, and feelings of others.
    • Adopt habits to sustain high performance and develop your potential.
    • Actively listen, ask questions to check understanding, and clearly express ideas.
    • Seek, reflect, act on, and give feedback.
    • Gather information from a range of sources to analyse facts and discern patterns.
    • Commit to understanding how the business works and building commercial awareness.
    • Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
  • Travel Requirements: Not Specified
  • Available for Work Visa Sponsorship? No
  • Government Clearance Required? No

How to Apply:

No specific application instructions, required documents, or submission method are provided in the text.

General Conditions:

No general conditions or instructions are provided in the text.
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