Align Technē

Data Engineer Data Modeling

Job description

ISA Non Captive RTH-Y Note:

  • This position requires the candidate to work from the office starting from day one.
  • Ensure that you perform basic validation and gauge the interest level of the candidate before uploading their profile to our system.
  • Candidate Band will be count as per their relevant experience. Mode of Interview: Face to Face(Mandatory). **JOB DESCRIPTION** Yrs of exp: 4 to 7 yrs(Must) Mandatory Skills: Data Modeling with ETL skill JD:: ------Translates business needs into adata model, providing expertise on data Modeling tools and techniques for designing data models for applications and related systems. Skills include logical and physical data Modeling, and knowledge of ERWin, MDM, and/or ETL. Data Modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, the process of data Modeling involves professional data modelers working closely with business stakeholders, as well as potential users of the information system. There are three different types of data models produced while progressing from requirements to the actual database to be used for the information system.[2] The data requirements are initially recorded as a conceptual data model which is essentially a set of technology independent specifications about the data and is used to discuss initial requirements with the business stakeholders. The conceptual model is then translated into a logical data model, which documents structures of the data that can be implemented in databases. Implementation of one conceptual data model may require multiple logical data models. The last step in data Modeling is transforming the logical data model to a physical data model that organizes the data into tables, and accounts for access, performance and storage details. Data Modeling defines not just data elements, but also their structures and the relationships between them. Several techniques have been developed for the design of data models. While these methodologies guide data modelers in their work, two different people using the same methodology will often come up with very different results. There are several notations for data Modeling. The actual model is frequently called Entity relationship model, because it depicts data in terms of the entities and relationships described in the data. An entity relationship model (ERM) is an abstract conceptual representation of structured data. Most notable are: Bachman diagrams, Barker's notation, Chen's Notation, Data Vault Modeling, Extended Backus Naur form, IDEF1X, Object relational mapping, Object Role Modeling, Relational Model, Relational Model/Tasmania. Skills include logical and physical data Modeling on both SQL and NoSQL databases. Location: Gigaplex it park, building 9, Airoli, Mumbai

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