▷ [Aplica ya] Data Platform Tech Lead...

Tech Lead :

~ Min +10 years in technology project implementation

• Demonstrates up-to-date expertise in Data Engineering, complex data pipeline development.
• Experience in agile models
• Design, develop, implement and tune large-scale distributed systems and pipelines that process large volume of data; focusing on scalability, low -latency, and fault-tolerance in every system built.
• Experience with, Python, Java to write data pipelines and data processing layers
• Experience in Advance Pipelines with Airflow
• Experience Continuous Integration, DevOps, Github.
• Performance tuning experience of systems working with large data sets
• Proven, working expertise with Big Data Technologies Hadoop, Hive, Kafka, Presto, Spark.
• Highly Proficient in SQL.
• Experience with Cloud Technologies
• GCP – DataProc, Big Query, Cloud Fuctions
• Azure – ADLS, Data Factory.
• Experience with relational model, memory data stores desirable (Sql Server, Oracle, Cassandra, Druid)
• Knowledge in implementing advanced analytics models using ML / AI (Desirable)
• Knowledge of BI tools (Power BI, Tableau, Looker, etc.) Desirable
• Provides and supports the implementation and operations of the data pipelines and analytical solutions
• Experience in REST API data service – Data Consumption
• Experience in managing work teams
• Advanced project management
• English conversational (Advanced)
• Retail experience is a huge plus.