Description

Job Description: 

Required Qualifications: 

12+ years of experience in designing, developing, and managing large-scale data architectures, including data lakes, data warehouses and cloud environments (Azure, preferably Google Cloud)
Experience in cloud native-data architectures, data integration, API-base data integration, ELT/ETL, batch, and real-time data processing.
Expertise in cloud design and architecture to deliver large-scale distributed solutions.
Strong business acumen with the ability to align data/information architecture strategies with business objectives.
Proven leadership in cross-functional teams and fostering data-driven culture.
Extensive knowledge of data modeling, data governance, database design, data warehousing, ETL/ELT processes, and data technologies (e.g., Spark, relational and NoSQL databases).
Experience in Python and modern data platforms like BigQuery, Redshift, Spark, Cloud SQL, DataProc, Cloud Storage & Dataflow/Data Fusion.
Experience in SQL/NoSQL databases, cloud databases, and data streaming technologies (Kafka). 
Experience in orchestration tools (Airflow, Cloud Composer) and experience in CI/CD pipelines, automation, and DevOps practices

Key Skills

Education

Any Graduate