Our mission. As the world's number 1 job site, our mission is to help people get jobs. We need talented, passionate people working together to make this happen. We are looking to grow our teams with people who share our energy and enthusiasm for creating the best experience for job seekers.
The team. We are a rapidly growing and focused product team building the most popular job site on the planet. Every month, over 250 million people count on Indeed to help them find jobs, make it easy to apply, research companies, and connect qualified candidates to their job openings. With product teams in Austin, Tokyo, Seattle, San Francisco, Singapore and Hyderabad, we are improving people's lives all around the world, one job at a time.
Indeed is seeking a Data Developer in the product engineering organization with a focus on Data Governance. You are the owner for data within a division of the company. You will work closely with the Data Governance Analysts of your business area to understand the data your team relies on, create data pipelines, and outline how data is to be migrated/integrated to best serve the business functions. Your team will rely on you to own the data they use to make decisions, perform analysis, and track progress.
Data Developers at Indeed must be an expert in data pipelining, data curation and maintaining the integrity of data. You will need database development skills, technical knowledge of our data pipeline, and excellent communication skills.
Lead and maintain all data migrations, data modeling and ETL efforts for your business unit
Partner with product and engineering teams to define requirements for capturing/logging/curating new data; coordinate with product and engineering on new product lines to ensure all new data created is incorporated into our data governance model
You will be the owner and subject matter expert for critical data within a business unit at Indeed
Work with a set of stakeholders and analysts to identify the data required to operate an area of the business. Define what it means to have complete and accurate data
Drive consistency of data across front (web app, 3rd party tool) and back end systems (application to application)
Serve as the internal expert for data quality and data lineage for your business unit.
Manage the migration of existing reports to use certified datasets
Contribute to the development of training materials and deliver / coach 1 on 1 or small groups on the new processes across the data governance lifecycle
Work as part of a team of data governance analysts to ensure consistent data use across the entire company
2+ Years of SQL. Must have the ability to write complex, highly-optimized queries across large volumes of data
2+ years of solid Python programming skills to cleanse, manipulate, and present data, particularly using Pandas and Numpy
2+ years of Industry experience in a report development, data science, business analytics, business intelligence or comparable data engineering role, including data warehousing and business intelligence tools, techniques and technology
B.S. degree in math, statistics, computer science, or equivalent technical field
Excellent oral and written communication skills, and comfort presenting to everyone from entry-level employees to senior vice presidents
Knowledge of data governance best practices, business and technology issues related to management of enterprise information assets, and approaches related to data protection.
Knowledge of ETL and data warehouse concepts and processes
Experience validating datasets for accuracy (Data QA) and working with stakeholders to fix accuracy issues.
Curiosity and passion about data, visualization and solving problems
Creativity to determine the best solution for a real-world problem with quantitative data
Experience with reporting, descriptive statistics, probability, and cleaning big datasets
Willingness to question the validity, accuracy of data and assumptions
Enjoyment from collaborating with others in team environment
Eagerness to learn in a fast-paced environment
Drive and self-reliance
What we'd love to see (but isn't required):
Experience with Tableau or equivalency to create impactful reports, visualizations, and interactive dashboards
Exposure to tools used to support data management, specifically business glossary and metadata management, data profiling, and data quality.
Experience interpreting webapp logs, analytics tags and analytics debugging tools
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