PwC Hiring for Senior Associate – Digital Services- Data Analytics Job at Dubai Full Time

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. You’ll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.

Preferred Knowledge/Skills:

Demonstrates extensive knowledge and/or a proven record of success in the following areas:

• Leading teams to generate a vision, establish direction, motivate members, create an atmosphere of trust, leverage diverse views, coach staff, and encourage improvement and innovation;
• Utilizing data wrangling, ETL, data modelling, and business rules codification (e.g. analytics/transformations written in Python/R or similar business rules engines/languages);
• Developing analytics, leveraging tools such as Python, R, open source tooling;
• Using data mapping, data flows and governance processes around data management;
• Using data integration tools (e.g. Talend, SnapLogic, Informatica) and data warehousing / data lake tools; and,
• Building and maintaining database models (NoSQL, relational and other) and associated SQL.

Demonstrates extensive abilities and/or a proven record of success in the following areas:

• Object-oriented/object function scripting languages Python, R, C/C++, Java, Scala, etc.;
• Relational SQL, distributed SQL and NoSQL databases; – Big data tools such as Hadoop, Spark, Kafka;
• Data modeling tools such as ERWin, Enterprise Architect, and Visio;
• Data integration tools such as Talend, Informatica, and SnapLogic;
• Data pipeline and workflow management tools Azkaban, Luigi, Airflow;

Demonstrates extensive abilities and/or a proven record of success in the following areas:

• Creating design documentation, assisting in project planning, and leading staff in the development of data warehouses, data lakes, and business systems;
• Using written and verbal communication skills to effectively and efficiently translate business requirements into technical specifications and test cases;
• Working with large data sets;
• Coding data layer services, working with software development teams and data scientists to assist in the broader development of business applications;
• Using agile development processes;
• Using verbal and written communication skills with ability to present technical and non-technical information to various audiences;
• Leading developers code using object oriented design, implementation and maturation to take advantage of the language feature sets;
• Assessing and reviewing code to establish it is efficient code which is concise and best utilizes system resources which can become constrained in a big data environment;

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