Data Engineer

• Design, build, and maintain scalable ETL/data pipelines to extract, transform, and load data from databases, APIs, and files into data warehouses or data lakes.
• Manage and optimize data infrastructure across hybrid cloud environments, leveraging cloud-native services and on-premises resources.
• Ensure data quality through implementation of data validation, cleansing, and standardization processes.
• Develop interactive reports and dashboards using tools like Power BI, Tableau, or Looker to provide actionable insights to stakeholders.
• Adhere to data governance policies and procedures, including data security, privacy, and compliance regulations.
• Design and implement data models (e.g., dimensional, normalized) to optimize data storage and retrieval.
• Automate data pipelines and processes using scripting languages (e.g., Python, SQL) and automation tools.
• Collaborate with data analysts, scientists, and business users to understand requirements and deliver relevant data solutions.

Data Engineer, Hybrid Cloud, Reporting and Visualization

GCP Data Architect

Data Engineer

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