Technical Lead data - oracle SQL

Publiée le 20/11/2020 par NODYA

Lieu : Paris
Durée : 12 mois
Tarif : Tarif non renseigné
Télétravail : Non
Début : ASAP/Dec

Description de la mission :

Minimum of 8 years of experience in a similar role or as a technical lead engineer for data or technical product owner

Proven track record and technical skills:
Requisite Education and Experience / Minimum Qualifications:
o Strong experience in shipping innovative, commercially successful products to global/local markets
o Ability to develop a vision and strategy, to own a multi-year product roadmap, and to break that vision into phase and prioritize and drive backlogs with a dedicated engineering team
o Experience managing complex product development cycles and highly technical solutions
o Demonstrated ability to understand and discuss technical concepts, manage trade-offs and evaluate opportunistic new ideas with internal and external partners
o Ability to think strategically and execute methodically
o Strong experience with SQL databases -especially Oracle
o Knowledge of data ingestion, manipulation and transformation, e.g., SQL
o Hands-on experience building complex data pipelines e.g., ETL
o Hands-on experience managing and further developing distributed systems and clusters for both batch as well as streaming data (Hadoop/Spark and/or Kafka/Flink)
o Understanding partitions, connector offsets, connector tasks
o Experience with cloud orchestration (Kubernetes, OpenShift)
o Experience with Infrastructure-as-Code tools, e.g. CloudFormation, Azure ARM, Terraform
o Experience with programming in scripting languages, e.g., Python
o Experience with programming in a statically typed language, e.g., Scala
o Bachelor degree in computer science, information technology, or applied math
o Affinity with Advanced Analytics and Data Science
o Excellent written and verbal communications skills in English

Main responsibilities :

Be primarily responsible for the technical delivery of data lake and data warehousing projects with a team of on-shore and off-shore data engineers.
Lead a team of data engineers to maintain data infrastructure and business intelligence layers for both batch and real-time data consumption
You are the main driver in identifying which big data solutions are relevant to optimizing the product offering and designing them
Build large scale data processing systems, including the establishing of necessary links to existing systems both inside and outside of Dare

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