
Data Engineer
3 weeks ago
Job Description :
Key Responsibilities :
- ETL/ELT Pipeline Development : Architect, build, and optimize complex ETL/ELT processes to ingest, transform, and load data from diverse sources.
- Cloud Platform Expertise : Leverage extensive experience with cloud platforms, particularly AWS, to build and manage data infrastructure and services.
- Data Modeling : Develop and implement robust data modeling strategies to ensure data integrity and efficient querying.
- Big Data Technologies : Utilize big data technologies and distributed computing frameworks to process and analyze large volumes of data.
- API Integration : Work with various APIs to integrate external data sources into our data ecosystem.
- Performance Optimization : Tune database queries and optimize data pipelines to improve performance and efficiency.
- Cross-functional Collaboration : Work closely with data scientists, analysts, and software engineers to understand data requirements and deliver impactful solutions.
Required Skills & Qualifications :
- Strong proficiency in Python and SQL.
- Deep expertise in data warehousing concepts and implementation.
- Hands-on experience in building and optimizing ETL processes.
- Proven experience with cloud platforms, with a strong focus on AWS.
- Experience with big data technologies (e.g., Apache Spark, Hadoop).
- Solid understanding of data modeling principles.
- Experience working with APIs for data integration.
- Excellent communication skills for effective collaboration and stakeholder interaction.
(ref:hirist.tech)
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