Senior Data ----------- for 5 years’ experience in the Google Cloud Platform (GCP) like Bigquery, Composer Airflow with Python Coding, Dataflow, Cloud Storage, Cloud Pub/Sub, Talend Cloud, SSIS, SSAS, SSRS, PowerBI, Looker, MS SQL, PostgresSQL, Mysql, Azure Data Factory, Azure Data Lake Gen2, Azure DataBricks, Azure Synapse Analytics, Azure SQL. Azure Active Directory, Keepass 2, Azure Key Vault
My role will likely involve designing, building, and managing data pipelines and systems to handle large volumes of data efficiently. Here’s a broad outline of what the role might entail.
Responsibilities:
• Data Architecture and Design • Data Integration and ETL
• Data Warehousing • Data Governance and Security
• Monitoring and Optimization • Collaboration and Communication
Skills/Technologies:
• GCP Services • Programming and Scripting
• Data Modeling and SQL • DevOps and Automation
• Data Governance and Security • Big Data Technologies
Sample Project Done:
? Designing a data lake on GCP to centralize data from various sources and enable analytics
? Implementing a real-time data processing pipeline using Dataflow and Pub/Sub to support live analytics dashboards
? Migrating on-premises data systems to GCP and optimizing data storage and query performance in BigQuery
? Involved in the technical aspects but also in guiding and mentoring junior tea-----------mbers, and contributing to the strategic direction of data engineering within your organization
