Vacancy expired!
- Own and manage data engineering roadmap, architecture and deliverables by working with various engineering and business teams align on priorities
- Develop, build & maintain mission critical data pipelines that gather data from various internal & external sources
- Create optimized and scalable data models
- Develop, manage, operationalize & improve current data systems & processes.
- Always be on the lookout to automate and improve existing data processes for quicker turnaround and high productivity
- Collaborate with onshore and offshore data team members
- Develop a deep understanding of business & business processes.
- Communicate updates with the leadership team, as well as business & engineering stakeholders.
- Have a high sense of urgency to deliver projects as well as troubleshoot and fix data issues
- BS or MS in Computer Science, Software Engineering, or related field
- 5+ years of experience building large scale data warehouse, big data platform as well as real-time systems
- Strong Database knowledge, Snowflake and postgres preferred
- Proficient in Complex SQL development and optimization.
- Proficient in Python development.
- Proficient with SDLC methodologies
- Experience in Data modeling & schema design.
- Strong understanding of master data management & data governance
- Experience with Unix/Shell scripting & Cloud tools
- Experience with Web development technologies
- Experience with Data workflow tools like Airflow, Pentaho etc
- Experience with implementing and operationalizing data quality architecture.
- Experience working with unstructured data format (Json/XML/Yaml)
- Experience with ETL development methodologies & tools.
- Exceptional Excel / Data Management skills
- Experience in ECommerce and Retail will be a plus
Vacancy expired!