Description
Headquartered in El Segundo, Calif., Internet Brands® is a fully integrated online media and software services organization focused on four high-value vertical categories: Health, Automotive, Legal, and Home/Travel. The company's award-winning consumer websites lead their categories and serve more than 250 million monthly visitors, while a full range of web presence offerings has established deep, long-term relationships with SMB and enterprise clients. Internet Brands' powerful, proprietary operating platform provides the flexibility and scalability to fuel the company's continued growth. Internet Brands is a portfolio company of KKR and Temasek.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status
For Company details, visit our website: www.webmd.com / www.internetbrands.com
- Design, Develop & Support multiple data engineering projects with heterogeneous data sources.
- Data Sources like files (structured & unstructured), traditional relational databases like Postgres DB & non-traditional databases like Vertica DB (MPP), Hive.
- Analyze Business Requirements, design and implement required data model and Build ETL/ELT strategies
- Lead data architecture and engineering decision making/planning
- Translate complex technical subjects into terms that can be understood by both technical and non-technical audiences.
- 4+ years of experience with database development (advanced SQL) on any traditional & non-traditional DB's
- 2+ years on one specific ETL tool, such as Pentaho, Talend, Informatica, DataStage
- 1+ years of experience in scheduler/orchestration Tools like Control-M, Autosys, Airflow, JAMS
- Basic Python scripting and troubleshooting skills
- Strong communication and documentation skill is absolutely required for this role as you will be working directly with both technical and non-technical teams
- Experience working closely with teams outside of IT (ie. Business Intelligence, Finance, Marketing, Sales)
- Experience with setting up the infrastructure and architectural requirements
- Working knowledge with big data databases such as Vertica, Snowflake or Redshift
- Experience on the Hadoop ecosystem. Programmed or worked with key data components such as HIVE, Spark and Sqoop moving and processing terabyte level of data
- Experience on GCP/Big Query
- Experience in Apache Airflow or at least in-depth understanding on how Airflow works
- Web analytics or Business Intelligence a plus
- Understanding of Digital Marketing Transactional Data (Click Stream Data, Ad Interaction Data, Email Marketing Data )
- Understanding of Medical/Clinical data.
- Exposure or understanding of scheduling tools such as Airflow
- Experience in Linux environment is preferred but not mandatory
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