IN_Senior Associate_ AWS Data Engineer_D&A_Advisory_PAN India

1 Year ago • 4-8 Years

Job Summary

Job Description

At PwC, our data and analytics engineers design and develop robust data solutions, transforming raw data into actionable insights for informed decision-making and business growth. This role focuses on building data infrastructure, developing and implementing data pipelines, data integration, and data transformation solutions to enable efficient data processing and analysis.
Must have:
  • Design and build data pipelines & Data lakes to automate ingestion of structured and unstructured data
  • Provide fast, optimized, and robust end-to-end solutions
  • Knowledge about the concepts of data lake and data warehouse
  • Experience working with AWS big data technologies
  • Improve data quality and reliability of data pipelines through monitoring, validation and failure detection
  • Deploy and configure components to production environments
  • Proficiency in Redshift, S3, AWS Glue, Lambda, SQL, PySpark
  • AWS Data Engineer skills
Good to have:
  • Accepting Feedback
  • Active Listening
  • Agile Scalability
  • Amazon Web Services (AWS)
  • Apache Airflow
  • Apache Hadoop
  • Azure Data Factory
  • Communication
  • Creativity
  • 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
Perks:
  • Be part of a vibrant community of solvers
  • Lead with trust and create distinctive outcomes
  • Purpose-led and values-driven work
  • Powered by technology in an environment that drives innovation
  • Make a tangible impact in the real world
  • Rewards for contributions
  • Support for wellbeing
  • Inclusive benefits
  • Flexibility programmes
  • Mentorship
  • Equal employment opportunities without discrimination
  • Zero tolerance for discrimination and harassment

Job Details

Job Description & Summary

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.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us

.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities:

  • Design and build data pipelines & Data lakes to automate ingestion of structured and unstructured data that provide fast, optimized, and robust end-to-end solutions
  • Knowledge about the concepts of data lake and dat warehouse
  • Experience working with AWS big data technologies
  • Improve the data quality and reliability of data pipelines through monitoring, validation and failure detection.
  • Deploy and configure components to production environments
  • Technology: Redshift, S3, AWS Glue, Lambda, SQL, PySpark, SQL

Mandatory skill sets:

AWS Data Engineer

Preferred skill sets:

AWS Data Engineer

Years of experience required:

4-8 years

Education qualification:

Btech/MBA/MCA

Education

Degrees/Field of Study required: Bachelor Degree, Master Degree

Required Skills

Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, 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 {+ 27 more}

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About The Company

At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 152 countries with over 327,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com. PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity.


Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.

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