Lead Data Engineer - Python/SQL

We are hiring Data Engineer Lead for one of our client. Details mentioned below :Job overview and responsibility :- Be a part of building the ideal data ecosystem from scratch.- Ensuring the right data is generated from all applications and sourced at the right velocity with the complete depth and breadth to ensure complete coverage and reuse.- This is your opportunity to build new, not fix old.- This is a people leadership role (up to 5 members in a team squad) with broad responsibilities across many aspects of our data enablement value stream.- Define, create and publish the data architecture standards for all applications and infrastructure across the portfolio.- Create operational data solutions that will power our new mobile apps (iOS and Android) - Analyze systems that will be used to build brand new Machine Learning models.- Operate Marketing Tech systems to provide personalized real-time in-context service and marketing messages to customers that are relevant, useful and sensitive.- Enable and lead a team of Data Engineers to be the most creative and the best they can be.- Influence our Cloud provider's product roadmaps to ensure they meet our needs.Required skills and experiences :- At least 8 years of experience in total at Data Engineering or at a similar role - 3 years of experience at a leader role - Experience with DataOps - Strong Cloud-based Data Engineering experience in one of the following Clouds (AWS/Azure/GCP); we mainly use GCP but we are open to your Cloud experience (with at least 2 years of working on Cloud) - As GCP Cloud Data Engineer : You must be strong at General Infrastructure and Services and particular data services such as Big Query, Dataflow, Airflow, Cloud Function, etc.- As AWS Cloud Data Engineer : You must be strong at AWS technologies, data pipeline (Lake Formation, MWAA, EMR, S3, Glue and Athena); Data Warehousing technologies (AWS Redshift) - As Azure Cloud Data Engineer : You must be strong at Azure Data Lake Storage, Azure Databricks and Azure Data Factory, Synapse, etc.- Proven successful design and implementation of large and complex data solutions (Data Warehouse, Data Lake) using various architectural patterns such as Microservices - Experience with Advanced SQL and Python skills - Experience in using DevOps while working on Cloud data platforms like using Terraform for Infrastructure as Code (IaC), GitOps or using Docker, Kubernetes - Good education background of Information Technology (IT) and Information and Communication Technology (ICT) - Ability to influence both technical and business peers and stakeholders - Leadership experience in engineering teams, not just their technical skills but also their careers and ambitions since you are passionate and empathetic.- Good command of English verbal communication (ref:hirist.tech)