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Big Data Pipeline Developer
1 week ago
About Servify
Servify is a leader in the service industry, providing innovative solutions to businesses across the globe. Our mission is to empower organizations to deliver exceptional customer experiences through cutting-edge technology and expertise.
Job Description
We are seeking an experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and implementing end-to-end data pipelines using best-in-class technologies on serverless concepts. You will work closely with our cross-functional teams to ensure seamless integration of data management systems and drive business growth through data-driven insights.
Responsibilities:
- Develop and implement data pipelines using Python, Spark, and Databricks to process high-volume structured and unstructured data.
- Maintain and optimize existing data pipelines to ensure efficiency and scalability.
- Collaborate with data scientists and analysts to develop data visualizations and reports using Tableau, Power BI, and Web Reporting.
- Design and implement data warehouses and databases using SQL, NoSQL, and DW Designs.
- Evaluate and recommend new technologies and tools to improve data management and analytics capabilities.
Requirements:
- Proven experience in data engineering with a strong understanding of data lifecycle management.
- Proficiency in Python, Spark, Databricks, and AWS.
- Strong knowledge of cloud platforms, including AWS and GCP.
- Familiarity with containerization tools like Kubernetes and Docker.
- Ability to communicate technical concepts to non-technical stakeholders.