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PwC Service Delivery Center
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IN_Senior Associate_AWS DE_Data and Analytics

IN_Senior Associate_AWS DE_Data and Analytics

PwC Service Delivery Center

2 - 6 years

4 - 8 Lacs

bengaluru

Posted:2 weeks ago| Platform:

Apply

Skills Required

assurance data management data modeling analytical database administration data processing business intelligence operations monitoring auditing

Work Mode

Work from Office

Job Type

Full Time

Job Description

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

& Summary

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.

& Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities

Design and implement ETL/ELT pipelines using AWS services such as Lambda, Glue, EMR, and Step Functions Develop scalable data processing workflows using Python and/or PySpark Work with AWS Data Lake and Data Warehouse (e.g., S3, Redshift, Athena, Lake Formation) to ingest, transform, and store structured and semistructured data Optimize data pipelines for performance, reliability, and costefficiency Collaborate with crossfunctional teams in a Scrum/Agile setup to deliver sprint goals Ensure data quality, lineage, and governance through automated validation and monitoring Maintain and enhance CI/CD pipelines for data workflows Document technical designs, data flows, and operational procedures Develops, and delivers largescale data ingestion, data processing, and data transformation projects on the Azure cloud Mentors and shares knowledge with the team to provide design reviews, discussions and prototypes Works with customers to deploy, manage, and audit standard processes for cloud products.

Mandatory skill sets

AWS Lambda, Glue, S3, Hands on experience with Pyspark/Python on AWS,

Preferred skill sets

Other AWS services like Redshift, Athena, and other services strong understanding of data lake and data warehouse architectures on AWS Experience with Airflow, Terraform, or CloudFormation Certification on AWS

Years of experience required

3 to 12 years

Education qualification

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

Education

Degrees/Field of Study required Bachelor of Engineering, Bachelor of Technology, MBA (Master of Business Administration)

Degrees/Field of Study preferred

Required Skills

Data Engineering

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}

Travel Requirements

Available for Work Visa Sponsorship

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