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AWS/Azure, Snowflake - Associate 2

Open 17d

Summary

Implement cloud data engineering solutions like data lakes and hubs in AWS, working with Snowflake and ETL pipelines while collaborating on client projects.

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data and Analytics Engineering team you will implement cloud data engineering solutions like Enterprise Data Lake and Data hub in AWS. As an Associate you will focus on learning and contributing to projects while developing your skills and knowledge to deliver quality work. This position provides an exciting opportunity to work with advanced technologies and collaborate with diverse teams.

Responsibilities

- Implement cloud-based data engineering solutions using AWS

- Collaborate with diverse teams to achieve project goals

- Enhance technical knowledge through hands-on experience

- Support the development of innovative data solutions

- Analyze and interpret data to inform project strategies

- Contribute to the continuous improvement of processes and methodologies

- Build relationships with team members and stakeholders

- Participate in learning opportunities to advance skills

What You Must Have

- Bachelor's Degree

- 2 years of experience in Cloud data engineering solutions

- Oral and written proficiency in English required

- BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

What Sets You Apart

- Bachelor's Degree in Engineering, Computer Science, or related field

- Experience in architecting scalable cloud-based data solutions

- Hands-on experience with Snowflake utilities and ETL data pipelines

- Skilled in programming languages like Python or Java

- Knowledge of Big Data frameworks including Hadoop and Spark

- Familiarity with AWS compute and storage services

- Understanding of Cloud data migration processes and lifecycle

- Demonstrating analytical and problem-solving skills

Travel Requirements

Not Specified

Job Posting End Date

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