bengaluru karnataka amazon warehouse Jobs – 110 Open Jobs Today

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IN-Manager_Data Architect _Data and Analytics_Advisory_Bangalore

PwC -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

Data modeling
Azure
Data migration
Engineering
M.Eng
Master's degree
SQL
MCA
Database administration
AWS
Analysis skills
Bachelor's degree
Virtualization
ETL
Agile
B.E.
Business Administration
Apache
Kafka
Business requirements
MBA
Data warehouse
Python
Analytics
Hadoop

Full job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

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.

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:

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 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:

About the Role:

We are hiring sharp, hands-on Data Architect to lead the design and implementation of scalable, high-performance data solutions across both traditional and cloud-based data platforms. This role demands deep expertise in PySpark , SQL , Python and Data Modelling , along with a strong understanding of cloud platforms and modern data engineering practices

What you will do:

Design and implement scalable data pipelines for batch and near real-time use cases in cloud environments

Write optimized, complex SQL queries for data transformation and analysis in cloud data warehouses

Develop efficient Python and PySpark scripts for large-scale data processing and ETL workflows

Create and maintain data models in Databricks , ensuring data quality and consistency

Optimize queries and scripts over large-scale datasets (TBs) with a focus on performance and cost-efficiency

Implement data governance and security best practices in cloud environments

Collaborate across teams to translate business requirements into robust technical solutions

Mandatory skill sets:

8 + years of hands-on experience in Data Engineering

Strong command over SQL , Python , and PySpark for data manipulation and analysis

Deep experience with data warehousing concepts and implementation in cloud environments ( Azure / AWS )

Proficiency in data modeling techniques for cloud-based systems ( Databricks , Snowflake )

Solid understanding of ETL/ELT processes and best practices in cloud architectures

Experience with dimensional modeling, star schemas, and data mart design

Strong analytical thinking and problem-solving skills

Preferred skill sets:

Familiarity with data lake architectures and delta lake concepts

Familiarity with Snowflake /Databricks Data Warehouse

Knowledge of data warehouse migration strategies to cloud

Experience with real-time data streaming technologies (e.g., Apache Kafka, Azure Event Hubs)

Exposure to data quality and data governance tools and methodologies

Understanding of data virtualization and federated query engines

Understanding of performance optimization techniques for cloud-based data warehouses

Apache Airflow – Workflow orchestration and scheduling

Certifications in Azure or AWS or Databricks

Years of experience required:

8 - 1 2 years

Education qualification:

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

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

Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Master of Engineering, Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure, Microsoft Azure Analytics Services

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, 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 {+ 32 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

May 14, 2026

Apply Now

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