Role: Data Engineering Lead (Treasure Data)
Location: Dallas TX
Job Description:
- 10-15 Years of experience in building data analytics solutions on cloud platforms like AWS
- Strong programming background with emphasis on data management and data analytics
- Strong skills on marketing data analytics
- Expertise in deploying and managing customer MDM solutions
- Expertise in Data Engineering and Data Quality management
- Expertise in Treasure Data CDP platform is required
- Strong coding skills in one of the following: Python, Java, or PySpark.
- Strong understanding of cloud architecture and environment
- High Proficiency in SQL queries and especially performance tuning
- Understanding of cloud data migration processes and ability to design alternatives for data ingestion from variety of sources into various databases
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
- Understanding of data management concepts, such as, data quality, data lineage, data governance
- Build robust and scalable data integration (ETL) pipelines
- Build and deliver high quality datasets to support business analyst and customer reporting needs
- Interface with business customers, gathering requirements and delivering end to end solutions
- Good to have Certification in Cloud technologies (AWS/ Azure / GCP)
Experience:
- building data analytics solutions: 10 years (Preferred)
- AWS: 4 years (Preferred)
- marketing data analytics: 3 years (Preferred)
- Master data management: 4 years (Preferred)
- Treasure Data CDP: 2 years (Preferred)
Work Location: One location