Lead Big Data Engineer
* Build data-intensive solutions on AWS/GCP/Azure to help customers transition to cloud
* Collaborate with data scientists to design and deploy solutions on cloud
* Design data layout using object storage (S3/Cloud Storage) or databases to enable spark and other processes to access data efficiently
* Keep abreast with latest technologies and apply them to solve big data problems
* Familiarity with containers and their orchestration to manage workloads
* Learn and contribute towards knowledge sharing sessions
* Automate solutions and improve overall productivity and reducing the cost footprint of resources.
* Identify and solve performance and scalability issues
* Understand business problems and propose technical solutions
* Work with a global development team to develop production solutions
* Sound understanding of cloud platforms and its service offerings (at least one of AWS/GCP/Azure)
* Strong programming background in either Python and SQL
* Strong understanding of data engineering, data warehousing concepts
* Knowledge of object storage like S3 and designing data layouts for efficient data access
* Familiarity with Spark and big data technologies like Hive, BQ,EMR, DataProc , Dataflow will be given extra consideration.
* Experience with container technology (Docker) is a plus.
* Prior experience with data visualization technologies like SAS VA, Tableau is a plus
* Education: Master's Degree in Computer Science or Equivalent
* Travel up to 25% is required
* 3 weeks PTO
* Looking to fill this position immediately. Contact me by email at firstname.lastname@example.org or call 813-437-6931.
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