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Dallas, Texas
Posted on: 20 February 2024
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Build and support self-serve tools for data exploration and analysis. Create and maintain data pipelines that enrich the data lake, data warehouse and drive critical business reports. Ensure data pipelines are robust and fault tolerant in order to have accurate data delivered in a timely manner. Build and maintain data models used by data consumers. Encourage software engineering best practices on the Analytics Engineering team. Coordinate and support data requests. Scale existing software system to meet the extraordinary application demand. Work in a cross-functional team to ensure data quality for all data consumers. Develop testing framework for data products. Build relationships with data consumers in order to ensure data quality across the organization. Analyze user needs and software requirements to determine feasibility of design within time and cost constraints. Lead new initiatives from conception to delivery to bring new features to the Analytics Platform. Work with leadership to identify opportunities that drive business value. Conduct performance tuning, troubleshooting and optimization of data solutions to improve system performance and stability. Stay current with industry trends and technologies and find ways to incorporate them into the Analytics Platform. Be a mentor and resource for colleagues. Position allows telecommuting from anywhere in the U.S. Salary: $139,464 - $191,500 per year.
Minimum Requirements: Bachelor’s degree or U.S. equivalent in Computer Science, Computer Engineering, Information Technology, or a related field plus 5 years of professional experience as Application developer, software developer or any occupation/position/job title involving analytics software engineering. In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master’s degree or U.S. equivalent in Computer Science, Computer Engineering, Information Technology, or a related field, plus 3 years of professional experience as Application developer, software developer or any occupation/position/job title involving analytics software engineering. Must also have experience in the following: 3 years of professional experience performing analytic software engineering (including planning, analyzing, designing, developing, implementing, testing and maintaining software systems or applications); 3 years of professional experience with data modeling and data warehousing concepts; 2 years of professional experience with SQL, including optimizing queries against large data sets on a petabyte scale; 2 years of professional experience with Python 3.x; 2 years of professional experience using big data technologies including Spark, Databricks EMR, Snowflake, Hive, Hudi, Delta, or Hadoop; and 2 years of professional experience writing ETL data workflows.
Please email resume to: Lauren.Lozano@Match.com. Please specify ad code HDLL
\nWhy Match Group?
Our mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer:
Mind & Body – Medical, mental health, and wellness benefits to support your overall health and well-being
Financial Wellness – Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security
Unplug – Generous PTO and 18 paid holidays so you can unplug
Career – Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work
Family – Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts
Company Gatherings – We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging!
We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period.
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact employeebenefits@matchgroup.com.
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