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AWS Architect Data Engineering (Redshift + Glue +PySpark) - Senior Associate

PwC
NewPosted today

LOCATION

Hyderabad · Onsite

EXPERIENCE

5+ Years

TYPE

FullTime

SKILLS REQUIRED

PySparkData PipelinesData WarehousingAWS ServicesAmazon RedshiftAWS GlueSQL Optimization

Job description

Overview

Senior Associate role in PwC's Data and Analytics Engineering practice at the Acceleration Center, designing and building cloud-based data pipelines, integration patterns and transformation solutions using Redshift, Glue and PySpark.

What you'll do

  • Design and build cloud-based data pipelines using AWS services, Redshift, Glue and PySpark
  • Transform raw data into curated datasets that support reporting, analytics and downstream application use
  • Develop data integration and transformation workflows across source systems, storage layers and analytics platforms
  • Create scalable data models and warehouse structures to support performance, availability and reuse
  • Tune SQL, Spark and ETL processes to improve processing speed and reduce data latency
  • Apply data quality checks, validation logic and reconciliation steps across engineering deliverables
  • Troubleshoot pipeline failures, data inconsistencies and platform issues across cloud environments
  • Collaborate with client teams to gather technical requirements, translate business needs and shape delivery plans
  • Review work products for accuracy and mentor junior team members on engineering methods and delivery practices

What you'll need

  • At least a Bachelor's degree
  • At least 5+ years of experience
  • Oral and written proficiency in English

Nice to have

  • Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
  • AWS data engineering experience across Redshift, Glue and PySpark
  • Data modernization skills for cloud-based analytics platforms
  • ETL, data modeling and data pipeline development knowledge
  • Interpreting data to inform recommendations for client engagements
  • Mentoring junior team members while navigating complex project work

Details

  • Location: Hyderabad (Acceleration Center India)
  • Management level: Senior Associate
  • Travel requirements: not specified

Read the full description and apply on the company’s own careers page.

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AWS Architect Data Engineering (Redshift + Glue +PySpark) - Senior Associate