Big Data Solutions Engineer

3 days ago


San Bruno, California, United States Tredence Full time
About the Company:
Tredence is a global analytics services and solutions company that has been recognized as one of the fastest-growing private companies in the country for three consecutive years. Our unique selling proposition lies in our ability to build scalable big data solutions on-premises, GCP, or Azure clouds at a very cost-effective and easily scalable manner for our clients. We offer pre-built analytics solutions in data mining, BI, and Big Data, which enables us to provide high-quality services to our clients.

We are seeking a highly skilled Big Data Solutions Engineer to join our team. In this role, you will be responsible for designing, developing, and implementing big data solutions using various tools and technologies, such as Hadoop, Hive, Spark, Pig, Scoop, Kafka, Presto, Impala, Drill, Druid, Relational SQL, and NoSQL databases. You will also be involved in creating Technical Architectures for migration from OnPrem to Cloud, managing and mentoring a team in end-to-end project implementation, and enabling simplified user access to massive data by building scalable data solutions.

The ideal candidate will have a graduate degree in Computer Science, Information Systems, or an equivalent quantitative field, with 4-6 years of experience in a similar big data experience role. You will have a strong understanding of cloud computing platforms, such as GCP and Azure, and experience working with tools like Azkaban and Airflow, and stream-processing systems, like Storm and Spark-Streaming. Estimated Salary: $130,000 - $170,000 per annum.

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