The Innovation Team is at the core of innovation and emerging technology development, discovery, deployment and support activity. Our team is leading the effort to digitally enable our business. Our mission is to develop disruptive & innovative technologies and products that drive the evolution of how we deliver our services now and in the future. The key technology domains we are currently focused on include business process automation, data curation, industrialized analytics, machine learning & AI and scalable delivery platform. As a Data Engineer, you will work in a team together with Data Scientists, Software Engineers and Product Managers to drive Innovation and Technical solutions into practice. Data Engineers will focus on the design and build out of data models, codification of business rules, mapping of data sources to the data models (structured and unstructured), engineering of scalable ETL pipelines, development of data quality solutions, and continuous evaluation of technologies to continue to enhance the capabilities of the Data Engineer team and broader Innovation group. You’ll focus on assisting them as they incorporate increased automation, machine learning, data & analytics, commercial and open source technologies into their processes to deliver better quality output and contribute more strategically to organizational decision making.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

Responsibilities

As a Senior Associate, you’ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Use feedback and reflection to develop self awareness, personal strengths and address development areas.
• Delegate to others to provide stretch opportunities, coaching them to deliver results.
• Demonstrate critical thinking and the ability to bring order to unstructured problems.
• Use a broad range of tools and techniques to extract insights from current industry or sector trends.
• Review your work and that of others for quality, accuracy and relevance.
• Know how and when to use tools available for a given situation and can explain the reasons for this choice.
• Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
• Use straightforward communication, in a structured way, when influencing and connecting with others.
• Able to read situations and modify behavior to build quality relationships.
• Uphold the firm’s code of ethics and business conduct.

RequirementsThese should include

essential &

desirable requirements

Such As

Preferred Knowledge/Skills:

Functional Skills

• Hands on experience with Data management as per

business requirements for Analytics or audit analytics

• Experience in dealing with financial data, journal entry

testing, performing data analytics for business processes.

• Experience in performing data transformation (ETL),

data quality checks and data blending.

• Demonstrates thorough knowledge and understanding

of performing on project teams and providing deliverables

• Involving multiphase data analysis related to the

evaluation of compliance, finance, and risk issues.

• Good communication skill with the ability to

communicate both verbally and written.

• Able to manage compliance and other related matters

for self and for the team.

Technical Tools

Must have:

• Hands-on experience with MS-SQL/Python/SAS/Alteryx/

ACL or other structured query language.

• Demonstrates thorough knowledge and/or a proven record of

success leveraging data manipulation and analysis technologies

inclusive of Microsoft SQL Server, SQL, Oracle, or DB2.

• Demonstrates thorough knowledge and/or a proven record of

success leveraging data visualisation tools such as Power BI and

Tableau.

• Demonstrate knowledge in Excel and its functionality

Good to have

• Experience in a similar role in their current profile.
• Good accounting knowledge and experience in dealing with

financial data is a plus.

• Knowledge of Knime/ Cobol/C#/Shell/PERL/SAP ABAP

scripts is a plus

Level of experience – 4 + years of experience in Data Analytics / Consulting and/

or Data Migration/Data Transformation

Education/ Qualifications – BCA/ MCA/ B.tech / M.tech

Certification(s) Preferred – Certification in Data Analytics / Data Science