Data Integration Specialist -Senior Associate

<br>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. As part of our Data Governance, Quality and Operations team, you’ll focus on using advanced frameworks, data integration and machine learning tools to deliver scalable data operations while establishing trust and integrity in data at the point of use.<br><br><p>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.</p><p></p><p>As a Senior Associate, you&
39;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:</p><p></p><ul><li>Use feedback and reflection to develop self awareness, personal strengths and address development areas.</li><li>Delegate to others to provide stretch opportunities, coaching them to deliver results.</li><li>Demonstrate critical thinking and the ability to bring order to unstructured problems.</li><li>Use a broad range of tools and techniques to extract insights from current industry or sector trends.</li><li>Review your work and that of others for quality, accuracy and relevance.</li><li>Know how and when to use tools available for a given situation and can explain the reasons for this choice.</li><li>Seek and embrace opportunities which give exposure to different situations, environments and perspectives.</li><li>Use straightforward communication, in a structured way, when influencing and connecting with others.</li><li>Able to read situations and modify behavior to build quality relationships.</li><li>Uphold the firm&
39;s code of ethics and business conduct.</li></ul><p></p><p></p><p></p><br><br><p><b><u>Basic Qualifications</u></b><span>: </span><br /><br /><b>Minimum Degree Required</b><span>: </span><br /><span>Bachelor Degree</span><br /><br /><b>Minimum Years of Experience</b><span>: </span><br /><span>4 year(s) </span></p><p></p><p>Demonstrates thorough knowledge and/or a proven record of success in understanding underlying client business problems including the following areas: </p><ul><li>Developing Data Integration technology-enabled solutions that address the needs of large organizations, including how to implement technology solutions to help streamline design, automation, and orchestration of enterprise data that support large business transformation and processes;</li><li>Implementing Data Integration tools, such as SnapLogic, Mulesoft, Databricks, AWS Kinesis &amp; Glue, Azure Data Factory, Informatica Cloud, etc.;</li><li>Working with data querying and processing utilizing SQL, Python/PySpark, Jupyter Notebooks and similar technologies;</li><li>Interacting with data quality systems and processes, data management and data operations workflows and processes;</li><li>Working with client stakeholders, both business and technical, to capture and document Data Integration requirements, creating data mapping and technical specifications, designing integration patterns;</li><li>Applying lead design and implementation practices related to end-to-end data lifecycle for one or more of the following: enterprise cloud data hubs/exchanges, middleware systems, data conversion/migration for business applications (e.g. CRM, ERP), edge applications (e.g. mobile devices);</li><li>Applying experience related to multi-cloud/hybrid cloud data integration solutions;</li><li>Understanding of data models and table structure of business applications such as Salesforce/SAP/Microsoft Dynamics/Oracle ERP;</li><li>Applying experience with high volume/scale data integration engineering; and,</li><li>Applying proven communication and presentation skills, experience working with variety of senior IT stakeholders.</li></ul><p>Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:</p><ul><li>Supporting your leads with the development of Data Integration for full scale operational and organisational transformations;</li><li>Supporting the development of and execution of GTM strategy and industry specific offerings / assets;</li><li>Supporting the development and delivery of sales support materials for Data Integration opportunities, including delivery of client training and industry events;</li><li>Striving to become a subject matter specialist on Data Integration architectures/tools/solutions, leveraging your knowledge and experience to meet client’s needs; and,</li><li>Performing as a collaborative team member with willingness to assist junior staff.</li></ul><br>At PwC, our work model includes three ways of working: virtual, in-person, and flex (a hybrid of in-person and virtual). Visit the following link to learn more: https://pwc.to/ways-we-work.<br><br>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.<br><br>All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.<br><br>For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.<br><br>For positions in Albany (NY), California, Colorado, Nevada, New York City, Washington State, or Westchester County (NY), please visit the following link for pay range information: https://pwc.to/payrange-v1-advisoryseniorassociate<br><br>
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