Job Description

Line of Service Advisory

Industry/Sector Not Applicable

Specialism Data, Analytics & AI

Management 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.

for data science, data discovery, and BI/analytics. Responsible for developing,
constructing, testing and maintaining data sets and scalable data processing systems.
Data engineers work closest with Data Architects and Data Scientists. They also
work with business and IT groups beyond the data sphere, understanding the enterprise
infrastructure and the many source systems.
Input is raw datasets. Output is analytics-ready, integrated/curated datasets.
Key capabilities in this role family include:
\xe2\x97\x8f Data Acquisition - is the process of gathering and storing data in a location and
format that it can be consumed for data preparation and/or downstream
business uses.
\xe2\x97\x8f Data Preparation - is an iterative process for exploring, integrating, cleaning,
validating and transforming raw data into curated datasets
\xe2\x97\x8f Data Publishing - is the act of releasing data in consumable form for (re)use by
others.
Note: All data engineer roles should have a foundational set of knowledge in:
communication, leadership, teamwork, problem solving skills, solution / blueprint
definition, business acumen, architectural processes (e.g. blueprinting, reference
architecture, governance, etc.), technical standards, project delivery, and industry
knowledge.
Key Objectives/Deliverables

• Gather user requirements and translate them into business solutions.
• Design, develop, test, improve, and maintain new and existing solutions for data

integration, data prep, ingestion, cleansing, and transforming raw data into curated
datasets for business consumption.

• Incorporate deep data management expertise into solutions, including permissions,

recovery, security, and monitoring.

• Validate and qualify solutions.
• Identify, troubleshoot, debug, and resolve technical issues.
• Work with business and IT groups to understand source systems and enterprise

infrastructure offerings.

• Work with data from multiple data sources to build integrated views that will drive

decisions

• Consult with internal customers who own the data to develop information

relationships that lead to actionable insights.

• Work in Agile Sprints with business facing project teams

2. Minimum Position Qualifications

• Bachelor\xe2\x80\x99s Degree and 5 years\xe2\x80\x99 experience in the implementation of modern data

ecosystems in AWS/Cloud platforms.

• Strong experience with AWS ETL/File Movement tools ( GLUE, Athena, Lambda,

Kenesis and other AWS integration stack)

• Strong experience with Agile Development, Cloud formation Template, AWS

CodeBuilt, AWS Code Pipeline

• Strong experience with Two or Three AWS database technologies ( Redshift, Aurora,

RDS,S3 & other AWS Data Service ) covering security, policies, access management

• Strong programming Experience with programming language like Sql, Python and

Spark

• Experience with Apache Airflow,Ansible & other automation stack.
• Excellent oral and written communication skills.
• A high level of intellectual curiosity, external perspective, and innovation interest
• Strong analytical, problem solving and investigative skills
• Experience in applying quality and compliance requirements
• Experience with security models and development on large data sets

Additional Preferences

• ITIL Certification

Mandatory Skills: AWS
Preferred Skills: AWS
Years of Experience: 4-8 Years
Qualification: B.Tech

Education (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 Devops

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date October 30, 2023

PwC