IN-Associate AWS Data EngineerData and AnalyticsAdvisoryGurgaon

PricewaterhouseCoopers

Job Location:

Gurgaon - India

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data Analytics & AI

Management Level

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.

*WhyPWC

AtPwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach other. Learn more

about us

AtPwC 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 firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary:

We are looking for an experienced AWS Data Engineer with strong expertise in SQL Python andPySparkto design build and optimize scalable data ingestion and ETL/ELT pipelines. The role requires hands-on experience with AWS services such as Glue Step Functions Lambda and DMS along with a strong understanding of data engineering best practices production readiness and high-volume data processing.

Responsibilities:

Develop ETL/ELT pipelines using AWS services such as Glue Step Functions Lambda and DMS.

Implement direct-to-Aurora ingestion strategies for snapshots and delta loads.

Ensure referential integrity correct processing order idempotency and recovery mechanisms.

Build monitoring validation and reconciliation frameworks for production data pipelines.

Manage scalability and throughput during high-volume EOD ingestion workloads.

Mandatory skill sets:

Expert-level SQL development and performance optimization.

Strong proficiency in SQL Python andPySpark.

Hands-on experience with ETL pipelines and orchestration frameworks.

Solid understanding of ACID-compliant data ingestion principles.

Experience with schema evolution and CDC (Change Data Capture) patterns.

Experience owning production readiness and end-to-end solution delivery.

Exposure to cloud-native architectures and AWS tools such as Glue Step Functions Lambda and DMS.

Preferred skill sets:

Experience with SAP ODP or enterprise data replication technologies.

Familiarity with distributed PostgreSQL systems.

Exposure to event-driven architectures such as Kafka.

Years of experience required:

Experience:58 years

Minimum 3 years of relevant work experience typically reflecting 5 years in data engineering data integration or related roles.

Proven track record of building resilient and idempotent ingestion frameworks.

Experience supporting high-volume time-sensitive processing especially EOD workloads.

Strong operational mindset including monitoring alerting and maintaining runbooks.

Education Qualification:bachelor and master degree

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

AWS Database Migration Service (DMS) Database Modeling

Optional Skills

Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Apache Airflow Apache Hadoop Azure Data Factory Communication Data Anonymization Data Architecture Development 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 22 more

Desired Languages (If blank desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date

May 18 2026

Required Experience:

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData Analytics & AIManagement LevelAssociateJob Description & SummaryAt PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. The...