
Big Data Solutions Architect
4 days ago
As a Big Data Engineer, you will lead the development and implementation of our cloud-based data infrastructure. You will work closely with cross-functional teams to understand data requirements, design scalable solutions, and ensure the integrity and availability of our data.
The ideal candidate will have a deep understanding of cloud technologies, data engineering best practices, and a proven track record of successfully delivering complex data projects.
We are seeking an experienced professional who can lead efforts to ensure data quality, consistency, and accuracy. If you have expertise in data modelling and integration, experience with big data technologies, and proficiency in programming languages such as Python, Java, Scala, or GoLang, we encourage you to apply.
Key Qualifications- Bachelor's or Master's degree in Computer Science or a related field
- Proven experience as a Big Data developer, with a focus on cloud platforms
- Strong proficiency in cloud services such as AWS, Azure, or Google Cloud
- Expertise in data modelling and data integration
- Experience with big data technologies (Hadoop, Spark, etc.)
- Proficient in programming languages such as Python, Java, Scala, GoLang
Certification in cloud platforms is a plus. We also value experience building data streaming solutions using Apache Spark, Storm, Link, Flume, and knowledge of machine learning and data science concepts.
Preferred Qualifications- Certification in cloud platforms (AWS Certified Big Data - Specialty, Microsoft Certified: Azure Data Engineer, etc.)
- Experience building data streaming solutions using Apache Spark, Storm, Link, Flume
- Experience using ETL tools and technologies like Reltio, Stibo, Informatics, Apache Atlas
- Knowledge of machine learning and data science concepts
- Contributions to the open source community
- Familiarity with data governance and compliance
If you are passionate about delivering high-quality data solutions, we want to hear from you.
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