IN-Senior Associate Data Engineering Emerging Technologies Advisory Bangalore/Kolkata

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Emerging Technologies

Management Level

Senior Associate

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.

Job Description

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.

Job Description & Summary: We are seeking a skilled AWS Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering and cloud computing, particularly within the AWS ecosystem. You will be responsible for designing, building, and maintaining data pipelines and architectures that support our data analytics and business intelligence efforts.

Responsibilities:

• Design and implement scalable data pipelines using AWS services such as Glue, Lambda, S3, Redshift, RDS & EMR.
• Develop and maintain ETL processes to transform and load data from various sources into data warehouses or lakes.
• Collaborate with data scientists and analysts to understand data requirements and ensure data availability and quality.
• Monitor and optimize data pipeline performance and troubleshoot issues as they arise.
• Implement data security and compliance measures in line with industry standards and best practices.

Qualification:

• Document data engineering processes and solutions. Bachelor’s degree in Computer Science, Information Technology, or a related field.
  - Proven experience as a Data Engineer with a focus on AWS cloud services.
  - Proficiency in programming languages such as Python or Scala.
  - Experience with SQL and database management systems.
  - Familiarity with big data technologies such as Hadoop and Spark.
  - Strong problem-solving skills and attention to detail.
  - Excellent communication and teamwork abilities.

Mandatory skill sets:

AWS, Hadoop/spark, python/scala, SQL  

Preferred skill sets:

- AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.
- Experience with DevOps practices and tools for data engineering.

Years of experience required:

4 to 8 years

Education qualification:

BE/B.tech/MCA/MTech

Education (if blank, degree and/or field of study not specified)

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Python (Programming Language), Spark SQL

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 18 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date