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About the Role
The Data Development Consultant will act as a key resource of the Data Operations and Engineering team, supporting Marketing Services products like MTA and MMM. This role involves daily support activities such as fixing code issues within the big data pipeline and backend, analyzing data-related issues, and undertaking development tasks for the data pipeline. The position requires collaboration with stakeholders across solution Architecture, Consulting Services, Product, and Engineering teams.
Responsibilities
- Manages day-to-day activities and works on assigned tasks to facilitate successful completion of team projects and initiatives.
- Plays a key role in end-to-end data onboarding and creating data pipelines for end applications.
- Performs in-depth analysis of source data to provide insights for data mapping and business rules setup.
- Develops, codes, and implements data pipelines.
- Ensures successful data onboarding at an individual client level.
- Works cross-functionally with Product Managers, Solution Architects, Data Modelers, and Consultancy Services to align with and achieve team goals.
- Develops deep knowledge of in-house tools and applications to suggest improvements and assist Advisory Services and Solution Architects.
- Determines how best to accomplish objectives under limited supervision.
- Exercises independent judgment to solve problems.
Requirements
- Excellent SQL skills and in-depth understanding of relational databases.
- Experience with distributed systems frameworks like Hadoop, including hands-on experience with HDFS, MapReduce, and Google Cloud Platform.
- Good knowledge of UNIX environments and exposure to shell scripting.
- Working knowledge of large-scale multi-node clusters with technologies like HDFS/Big Query, Hive.
- Knowledge of database design principles such as OLAP, OLTP, and ETL.
- Adherence to company policies, sound judgment, trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the company’s reputation are essential expectations.
Skills
- Big Data
- SQL
- Hadoop
- HDFS
- MapReduce
- Google Cloud Platform
- UNIX
- Shell scripting
- HDFS/Big Query
- Hive
- OLAP
- OLTP
- ETL
- Python
- Java
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- 5+ years related IT experience in Big Data
Education Level
- Bachelor’s Degree
Salary/Compensations
- $72,300.00 - $105,000.00 annually
Benefits
- Day-one eligibility for medical, dental, and vision coverage
- Supplemental plan options
- Spousal, domestic partner, and other eligible dependent coverage
- Tax-advantaged HSA and FSA accounts
- Company-paid basic life and AD&D
- Optional voluntary life and AD&D for you and your family
- Short- and long-term disability
- Optional legal plan, pet insurance, and travel accident coverage
- Adoption assistance and fertility planning coverage
- Caregiver support
- Dependent Care FSA with potential employer match
- Complimentary Care@Work membership
- Up to 12 weeks of paid parental leave with eligibility for a thoughtful, gradual return
- 401(k) with employer match
- Employee Stock Purchase Plan (ESPP)
- Financial wellness resources
- Career coaching
- Optional long-term care insurance
- Tuition reimbursement
- Flexible time off for exempt employees or paid time off for nonexempt employees
- Up to 12 paid holidays per year
- Commuter benefits
- Employee discounts
- Charitable gift matching
- Paid volunteer time off
- Corporate volunteer events
- 24/7 support including professional therapy, coaching, and emotional well-being programs
- Guided meditation and resources supporting physical, mental, social, and financial wellness
About the Company
- At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers.
- We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way.
- We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.
- Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.
Equal Opportunity
- As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.
- Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans.
- Components of TransUnion’s Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com.
- Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.
- TransUnion complies with all applicable immigration laws and regulations.
- The Company does not presently provide employer support or sponsorship for an immigration-related employment benefit for this position.
- Applicants must be authorized to work in the United States on a full-time basis without the need for employer support or sponsorship now or in the future.