Job Description

Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism Data, Analytics & AIManagement Level Senior Associate & 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.Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.What\xe2\x80\x99s on offer?
Consultant/Senior Consultant /Principal Consultant \xe2\x80\x93 Advisory - One Consulting - Data Analytics
Where?
PAN India
What do we expect?
Must have skills:
\xef\x82\xb7 Bachelors/Masters/Computer Science/Equivalent engineering
\xef\x82\xb7 Previous Work Experience: 3-7 years (Bachelor Degree holders)
\xef\x82\xb7 In-depth experience with various AWS data services, including Amazon S3, Amazon Redshift,
AWS Glue, AWS Lambda, and Amazon EMR, SQS, SNS, Step Functions, Event Bridge.
\xef\x82\xb7 Ability to design, implement, and maintain scalable data pipelines using AWS services.
\xef\x82\xb7 Strong proficiency in big data technologies such as Apache Spark and Apache Hadoop for
processing and analyzing large datasets.
\xef\x82\xb7 Hands-on experience with database management systems such as Amazon RDS, DynamoDB, and
others.
\xef\x82\xb7 Good knowledge in AWS OpenSearch.
\xef\x82\xb7 Experience in data ingestion services like AWS AppFlow, DMS, AWS Glue etc.
\xef\x82\xb7 Hands on experience on developing REST API\xe2\x80\x99s using AWS API Gateway.
\xef\x82\xb7 Experience in real time and batch data processing in AWS environment utilizing services like
Kinesis firehose, AWS Glue, AWS Lambda etc.
\xef\x82\xb7 Proficiency in programming languages such as Python, PySpark for building data applications
and ETL processes.
\xef\x82\xb7 Strong scripting skills for automation and orchestration of data workflows.
\xef\x82\xb7 Solid understanding of data warehousing concepts and best practices.
\xef\x82\xb7 Experience in designing and managing data warehouses on AWS Redshift or similar platforms.
\xef\x82\xb7 Proven experience in designing and implementing Extract, Transform, Load (ETL) processes.
\xef\x82\xb7 Knowledge of AWS security best practices and the ability to implement secure data solutions.
\xef\x82\xb7 Knowledge of monitoring logs, create alerts, dashboards in AWS CloudWatch.
\xef\x82\xb7 Understanding of version control systems, such as Git.Nice to have skills:
\xef\x82\xb7 Experience with Agile and DevOps concepts.
\xef\x82\xb7 Understanding of networking principles, including VPC design, subnets, and security groups.
\xef\x82\xb7 Experience with containerization tools such as Docker and orchestration tools like Kubernetes.
\xef\x82\xb7 Ability to deploy and manage data applications using containerized solutions.
\xef\x82\xb7 Familiarity with integrating machine learning models into data pipelines.
\xef\x82\xb7 Knowledge of AWS SageMaker or other machine learning platforms.
\xef\x82\xb7 Experience in AWS Bedrock for GEN AI integration
\xef\x82\xb7 Knowledge of monitoring tools for tracking the performance and health of data systems.
\xef\x82\xb7 Ability to optimize and fine-tune data pipelines for efficiency.
\xef\x82\xb7 Experience in AWS services like: Code Pipeline, Code Commit, Code Deploy, Code Build, Cloud
Formation.Mandatory skill sets-AWS Data Engieer
Preferred skill sets-AWS
Year of experience required-4-7 Years
Qualifications-BE / BTech / MCAEducation (if blank, degree and/or field of study not specified) Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills AWS DevopsOptional SkillsDesired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date

PwC