Data Engineer

We are seeking an experienced Data Engineer to collaborate with business stakeholders and technical teams to acquire and migrate data sources critical to business objectives. This role involves designing, developing, and managing robust ETL pipelines, working with both structured and unstructured data, and ensuring efficient data management across various platforms. The candidate will also be expected to build cross-platform data strategies, automate processes, and optimize data delivery.

Key Responsibilities :

• Data Acquisition and Migration : Collaborate with business stakeholders and technical teams to acquire and migrate relevant data sources for business needs and goals.
• Database Expertise : Demonstrate deep technical knowledge of relational and non-relational databases, Data Warehouses, and Data Lakes, including structured and unstructured storage options.
• Develop data flow pipelines to extract, transform, and load (ETL) data from various sources. This includes custom ETL pipelines that enable model and product development.
• Data Extraction : Write custom scripts to extract data from unstructured or semi-structured data sources.
• Documentation and Communication : Provide clear documentation for all delivered solutions and processes, and ensure integration with relevant corporate stakeholders.
• Process Improvement : Identify and implement internal process improvements for data management, including automating manual processes, optimizing data delivery, and re-designing infrastructure for better scalability.
• Adoption of New Tools : Stay current with emerging tools and applications to ensure the development of high-quality and efficient solutions.
• Build cross-platform data strategies to aggregate multiple data sources and streamline development datasets.

Required Qualifications :

Experience :

Preferred Qualifications :

Technologies We Use :

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