The practice of designing and building systems for collecting, storing, and analyzing data at scale. It is a broad field with applications in just about every industry. Organizations have the ability to collect massive amounts of data, and they need the right people and technology to ensure it is in a highly usable state by the time it reaches data scientists and analysts.rn
Often deal with the unknown by using more advanced data techniques to make predictions about the future. They might automate their own machine learning algorithms or design predictive modeling processes that can handle both structured and unstructured data. This role is generally considered a more advanced version of a data analyst. Some day-to-day tasks might include: Gathering, cleaning, and processing raw data; Designing predictive models and machine learning algorithms to mine big data sets; Developing tools and processes to monitor and analyze data accuracy; Building data visualization tools, dashboards, and reports; Writing programs to automate data collection and processingBaseret på 1,071 bedømmelser, giver vores klienter os Data Engineers 4.83 ud af 5 stjerner.
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I would like to build a prototype for AI Based real estate platform. I have certain use-cases in mind. Kindly connect with me so we can discuss.
- tutoring for the dp203 certification - learn about proper data engineering in the cloud - experience in the data engineering azure environment - help understanding the tricky questions of the test - i use python - we can agree on a number of sessions and I rebook after the first round
Design an architecture for a democratized data platform in AWS with a feature to bring your own compute for data transformation. The architecture should include Extraction, Transformation and Load jobs independent of each other. It should also have a solution for a data access federation. The project deliverable is expected as follows, 1) an Architecture diagram 2) a technical design document explaining each component of the proposed architecture Use cases: 1) The data platform design is such that we are able to provide our own EMR cluster for the transformations jobs.. 2) The extract jobs and their orchestration is separated from the transformation and load jobs. 3) Identify a modern data store for analytical use cases 4) It should be easy to onboard new Extraction / Transformation and ...
We need Data Engineer with Azure cloud experience to work for 2 hrs a day remotely. We will give 25 to 30k per month. Should work on all these technologies with 5+ yrs experience. 1 to 3 or more years of experience with Snowflake/synapse, Databricks, Kafka, eventHub, Spark.