Data Engineer
Position Goal: Ensure stable analytical infrastructure in order to timely implement data-driven decisions on content creation.
Responsibilities:
- Troubleshoot data issues, validate result sets, recommend and implement process improvement
- Ensure timely monitoring and implementing respective changes of architect models to comply with Facebook, YouTube and Instagram changes
- Architect, build, and launch scalable data pipelines to support data processing and analytics needs
- Produce foundational data tables and metrics with clear definitions, lineage to ensure that data is reliable, intelligible, and maintainable
- Design our data models for optimal storage and retrieval and to meet business requirements
- Collaborate with data analysts to create fast and efficient algorithms for optimization, statistical analysis, prediction and clustering
- Help continually improve ongoing reporting and analysis processes
- Improve codebase, bring in latest technologies, re-architect modules to increase the throughput and performance
Requirements:
Experience and hard skills:
- Experience in ETL processes, Python, SQL, AWS Redshift, PostgreSQL or other RDBMS data stores
- Expert knowledge of SQL and Python
- Knowledge of database design and architecture principles, including in the data warehousing space
- Ability to provide concise documentation
- Ability to write and stand up our own API endpoints to share data internally/externally
Biographical data (age, gender etc):
- Strong Computer Science/Engineering/Information Systems background
Will be a “+” (soft and hard skills):
- 1+ years in Digital Media Publisher Industry with a deep understanding in Digital Research
- 1+ Experience in Data Modeling, Data architecture, Data Quality, Metadata, ETL and Data Warehouse methodologies and technologies
- Experience with various digital platforms such as Facebook, Twitter, Instagram, YouTube will be an advantage
Personal characteristics (5 “must have” soft skills):
- Strong analytical focus, results-oriented and execution driven
- Self-driven/self-initiator and resourceful to achieve goals independently as well as in teams
- Flexibility to adjust to changing requirements, schedules and priorities
- Strong problem-solving skills
- Strong attention to details and accuracy