We are seeking a skilled Data Engineer with at least 5 years of experience to join our data analytics team, focusing on building robust data pipelines and systems to support the creation of dynamic dashboards. The role involves designing, building, and optimizing data architecture, enabling real-time data flow for visualization and analytics. The Data Engineer will be responsible for managing ETL processes, ensuring data quality, and supporting the scalable integration of various data sources into our analytics platform.
The ideal candidate should have extensive experience in working with complex data architectures, managing ETL workflows, and ensuring seamless data integration across platforms. They should also have a deep understanding of cloud technologies and database management.
Key Responsibilities:
Data Pipeline Development
o Design, build, and maintain scalable ETL (Extract, Transform, Load) processes for collecting, storing, and processing structured and unstructured data from multiple sources.
o Develop workflows to automate data extraction from APIs, databases, and external sources.
o Ensure data pipelines are optimized for performance and handle large data volumes with minimal latency.
Data Integration and Management
o Integrate data from various sources (e.g., databases, APIs, cloud storage) into the centralized daIta warehouse or data lake to support real-time dashboards.
o Ensure smooth data flow and seamless integration with analytics tools like Power BI and Tableau.
o Manage and maintain data storage solutions, including relational (SQL-based) and NoSQL databases.
Troubleshoot and resolve any data flow issues, ensuring high availability and reliability of data for dashboards and analytics.
o Implement logging and alerting mechanisms to detect and address any operational issues proactively.
Qualifications:
Education: Bachelors degree in Computer Science, Information Technology, Data Engineering, or a related field. A Masters degree is a plus.
Experience: At least 5 years of hands-on experience as a Data Engineer, preferably in a data analytics or dashboarding environment.
Keyskills: Azure Data Factory ETL Informatica SQL
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