Data Conversion Developer, Senior Associate

Data Conversion Developer, Senior Associate

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Job Category Functional and Industry Technologies Line of Service Consulting Services Level Senior Associate Specialty/Competency Functional & Industry Technologies Industry/Sector Not Applicable Job Type Regular Time Type Full time Travel Requirements Up to 80% Job ID 510121WD Location(s) IN-Indianapolis, GA-Atlanta, OK-Tulsa, DC-Washington, OH-Cincinnati, MO-Kansas City, US-Remote, TX-Dallas, CA-Los Angeles, FL-Miami, CO-Denver, MN-Minneapolis, MA-Boston, UT-Salt Lake City, NY-New York, TX-San Antonio, CA-San Diego, CA-San Francisco, CA-Silicon Valley, WA-Seattle, AZ-Phoenix, TX-Houston

A career within Functional and Industry Technologies services will provide you with the opportunity to build secure and new digital experiences for customers, employees, and suppliers. We focus on improving apps or developing new apps for traditional and mobile devices as well as conducting usability testing to find ways to improve our clients’ user experience. Our team helps clients transform their business through enabling technologies across marketing, finance and operations in the functional areas such as Maximo and PowerPlant.

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.

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.



Basic Qualifications:

Minimum Degree Required:

Bachelor Degree

Minimum Years of Experience:

4 years

Preferred Qualifications:

Degree Preferred:

Master Degree

Certification(s) Preferred:

Azure Data Engineer Associate

Databricks Certified Data Engineer Associate

Preferred Fields of Study:

Computer and Information Science, Computer Engineering, Computer Management, Management Information Systems, Information Technology

Preferred Knowledge/Skills:

Demonstrates a thorough level of abilities with, and/or a proven record of success as both an individual contributor and team member, identifying and addressing client needs:

  • Supports in data analysis techniques to assess source data structures, identify mapping requirements, and define transformation rules for data conversion into Maximo;

  • Leads Maximo's modules and functionalities related to Asset Management and Work Order Management and IBM Maximo, including its data structures, configuration settings, and integration capabilities;

  • Identifies relational databases, preferably experience in working with databases commonly used in Maximo, such as IBM DB2, Oracle, Microsoft SQL Server, along with familiarity with Maximo's Integration Framework (MIF) and its capabilities for data integration and conversion;

  • Supports in designing and implementing data extraction, transformation, and loading processes for Maximo data conversion; 

  • Showcases understanding in SQL and database querying languages to extract and manipulate data from source systems along with understanding ETL tools and methodologies commonly used in Maximo data conversion;

  • Identifies technologies commonly used with Maximo, including web services (SOAP, RESTful APIs), XML, JSON, and other relevant data exchange formats;

  • Supports in pipeline architecture and development using one of the tools such as Azure ADF, AWS Glue, SSIS, DataBricks (multiple preferred);

  • Utilizes data cleansing techniques and methodologies to ensure the integrity and accuracy of converted data in Maximo;

  • Developes data cleansing functional business rules as per Maximo Business Object (MBO) definitions for source to Maximo conversion requirements;and comprehensive testing plans and executing validation processes to verify the accuracy and integrity of converted data in Maximo; 

  • Customizes Maximo options, such as Automation Scripts, Java Customizations, Database Configuration, or Application Designer, to support data conversion requirements;

  • Identifies integrations within Maximo with other enterprise systems, such as ERP systems, GIS systems, or asset management systems. Knowledge of integration patterns, data synchronization, and data exchange protocols; and,

  • Showcases work experience as a Data Engineer, Data Architect or similar role, along with experience in programming languages including Python, PySpark, Scala, SQL.


Learn more about how we work: https://pwc.to/how-we-work

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.

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.

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.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

For positions in California, Colorado, Hawaii, Nevada, New York State, or Washington State, or for opportunities that will report to a supervisor, office or other work site in New York State, please visit the following link for pay range information: https://pwc.to/payrange-v1-advisoryseniorassociate

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Data Conversion Developer, Senior Associate

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    PwC Recruiting: H-1B Lottery Policy

    PwC currently is not hiring 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 here.

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