Role: Senior Data Architect
Location: Madrid Spain
Type: Permanent/Contract
Si le interesa solicitar este empleo, por favor, asegúrese de cumplir los siguientes requisitos que se enumeran a continuación.
Responsibilities:
* 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies
* Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks
* Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent).
* In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc.
* Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response.
* Ability to be a SPOC for all technical discussions across industry groups.
* Excellent design experience, with entrepreneurship skills to own and lead solutions for clients
* Excellent ETL skills, Data Modeling Skills
* Excellent communication skills
* Ability to define the monitoring, alerting, deployment strategies for various services.
* Experience providing solution for resiliency, fail over, monitoring etc.
* Good to have working knowledge of Jenkins, Terraform, StackDriver or any other DevOps tools.
* Design and implement effective database solutions and models to store and retrieve data.
* Examine and identify database structural necessities by evaluating client operations, applications, and programming.
* Ability to articulate and write POVs on new and old technologies
* Ability to recommend solutions to improve new and existing database systems.
* Assess data implementation procedures to ensure they comply with internal and external regulations.
* Install and organize information systems to guarantee functionality.
* Prepare accurate database design and architecture reports for management and executive teams.
* Oversee the migration of data from legacy systems to new solutions.
* Educate staff members through training and individual support.
* Offer support by responding to system problems in a timely manner. xohynlm
Requirements:
* Strong knowledge of database structure systems and data mining.
* Knowledge of systems development, including system development life cycle, project management approaches and requirements, design and testing techniques
* Proficiency in data modeling and design, including SQL development and database administration
* Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured