AWS, AI & Python - Senior Associate

PwC

Bengaluru

On-site

INR 1,400,000 - 2,200,000

Full time

14 days+

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Job summary

PwC Acceleration Centers in Bangalore seek a Senior Associate to design and deliver cloud-based data solutions. You will implement data pipelines, data integration and transformation, interfacing with Offshore Manager and onsite analysts.

You will work on Enterprise Data Lake, data hub in AWS, and leverage Snowflake; strong Python/Scala background preferred. Travel to client locations may be required.

Qualifications

Experience architecting scalable, cloud-based data solutions.
End-to-end data engineering with data lakes/hubs in AWS.
Hands-on Snowflake, ETL pipelines and data modeling.
Proficiency in Python/Java and Spark.
Experience with Hadoop, Spark and streaming.
Knowledge of CI/CD and DevOps tools.
Experience with Airflow/Nifi/Luigi is a plus.

Responsibilities

Design scalable cloud data solutions for clients.
Implement end-to-end data pipelines and transformations.
Mentor junior team members on data engineering practices.
Collaborate with stakeholders to ensure project success.
Analyze data to support strategic decisions.
Maintain high quality in deliverables and code.

Skills

Cloud data solutions

AWS

Snowflake

ETL pipelines

Big Data

Spark

Python/Java

CI/CD

Airflow

Education

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

Tools

Snowflake utilities

SnowSQL

SnowPipe

Hadoop

Spark

Airflow

Nifi

Luigi

Git

Jenkins

CodePipeline/CodeBuild/CodeCommit

CloudWatch/CloudTrail/Config

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior 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.

At PwC, we connect people with diverse backgrounds and skill sets to solve important problems together and lead with purpose—for our clients, our communities and for the world at large. It is no surprise therefore that 429 of 500 Fortune global companies engage with PwC.

Acceleration Centers (ACs) are PwC’s diverse, global talent hubs focused on enabling growth for the organization and value creation for our clients. The PwC Advisory Acceleration Center in Bangalore is part of our Advisory business in the US. The team is focused on developing a broader portfolio with solutions for Risk Consulting, Management Consulting, Technology Consulting, Strategy Consulting, Forensics as well as vertical specific solutions.

PwC’s high-performance culture is based on passion for excellence with focus on diversity and inclusion. You will collaborate with and receive support from a network of people to achieve your goals. We will also provide you with global leadership development frameworks and the latest in digital technologies to learn and excel in your career. At the core of our firm’s philosophy is a simple construct: We care for our people.

Globally PwC is ranked as the 3rd most attractive employer according to Universum. Our commitment to Responsible Business Leadership, Diversity & Inclusion, work-life flexibility, career coaching and learning & development makes our firm one of the best places to work, learn and excel.

JOB OVERVIEW

At PwC - AC, as an AWS Developer, the candidate will interact with Offshore Manager/ Onsite Business Analyst to understand the requirements and the candidate is responsible for end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake, Data hub in AWS.

Years of Experience

Candidates with 4-9 years of hands‑on experience

Position Requirements:

Must Have:

Experience in architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions
Strong expertise in the end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake, Data hub in AWS, AI & Python
Hands‑on experience with Snowflake utilities, SnowSQL, SnowPipe,ETL data Pipelines, Big Data model techniques using
Python / Java
Experience in loading disparate data sets and translating complex functional and technical requirements into detailed design
Should be aware of deploying Snowflake features such as data sharing, events and lake‑house patterns
Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modeling)
Strong AWS hands‑on expertise with a programming background preferably Python/Scala
Good knowledge of Big Data frameworks and related technologies
Experience in Hadoop and Spark is mandatory
Strong experience in AWS compute services like AWS EMR, Glue and Sagemaker and storage services like S3, Redshift & Dynamodb
Good experience with any one of the AWS Streaming Services like AWS Kinesis, AWS SQS and AWS MSK
Troubleshooting and Performance tuning experience in Spark framework
Spark core, Sql and Spark Streaming
Experience in one of the flow tools like Airflow, Nifi or Luigi
Good knowledge of Application DevOps tools (Git, CI/CD Frameworks)
Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit
Experience with AWS CloudWatch, AWS Cloud Trail, AWS Account Config, AWS Config Rules
Strong understanding of Cloud data migration processes, methods and project lifecycle
Good analytical & problem-solving skills
Good communication and presentation skills

Desired Knowledge / Skills:

Experience in building stream-processing systems, using solutions such as Storm or Spark
Streaming
Experience in Big Data ML toolkits, such as Mahout, SparkML, or H2O
Knowledge in Python
Worked in Offshore / Onsite Engagements
Experience in one of the flow tools like Airflow, Nifi or Luigi
Experience in AWS services like STEP & Lambda

Professional and Educational Background:

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

Additional Information:

Travel Requirements:

Travel to client locations may be required as per project requirements.

Line of Service:

Advisory

Horizontal:

Technology Consulting

Designation:

Associate

Location:

Bangalore, India

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 Engineering team you will architect and deliver scalable, cloud-based enterprise data solutions. As a Senior Associate, you will leverage your knowledge in data engineering to navigate complexity and deliver elevated solutions while mentoring others and enhancing your technical skills.

Responsibilities