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Data Engineer

Square Hiring

 

Sunnyvale, CA, USA

Posted On: 9 days ago
Experience: 5+ years
Availability: Hybrid
Openings: 1
Category: Data Engineer
Tenure: Contract - Corp-to-Corp
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Description

Data Strategy

• Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function.

Data Transformation and Integration

• Extracts data from identified databases.

• Creates data pipelines and transforms data to a structure that is relevant to the problem by selecting appropriate techniques.

• Develops knowledge of current analytics trends. Data Source Identification

• Supports the understanding of the priority order of requirements and service level agreements.

• Helps identify the most suitable source for data that is fit for purpose.

• Performs initial data quality checks on extracted data. Data Modeling

• Analyses complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models.

• Develops the Logical Data Model and Physical Data Models including data warehouse and data mart designs.

• Defines relational tables, primary and foreign keys, and stored procedures to create a data model structure.

• Evaluates existing data models and physical databases for variances and discrepancies.

• Develops efficient data flows.

• Analyses data-related system integration challenges and proposes appropriate solutions.

Code Development and Testing

• Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements.

• Creates test cases to review and validate the proposed solution design.

• Creates proofs of concept.

• Tests the code using the appropriate testing approach.

• Deploys software to production servers.

• Contributes code documentation, maintains playbook, and provides timely progress updates.

Problem Formulation

• Translates business problems within one's discipline to data-related or mathematical solutions.

• Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem.

• Shares use cases and gives examples to demonstrate how the method would solve the business problem.

Applied Business Acumen

• Provides recommendations to business stakeholders to solve complex business issues.

• Develops business cases for projects with a projected return on investment or cost savings.

• Translates business requirements into projects, activities, and tasks and aligns to overall business strategy.

• Serves as an interpreter and conduit to connect business needs with tangible solutions and results.

• Recommends new processes and ways of working.

Data Governance

• Establishes, modifies, and documents data governance projects and recommendations.

• Implements data governance practices in partnership with business stakeholders and peers.

• Interprets company and regulatory policies on data.

• Educates others on data governance processes, practices, policies, and guidelines.

• Provides recommendations on needed updates or inputs into data governance policies, practices, or guidelines. Essential Skills Data Strategy

• Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function.

Data Transformation and Integration

• Extracts data from identified databases.

• Creates data pipelines and transforms data to a structure that is relevant to the problem by selecting appropriate techniques.

• Develops knowledge of current analytics trends.

Data Source Identification

• Supports the understanding of the priority order of requirements and service level agreements.

• Helps identify the most suitable source for data that is fit for purpose.

• Performs initial data quality checks on extracted data.

Data Modeling

• Analyses complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models.

• Develops the Logical Data Model and Physical Data Models including data warehouse and data mart designs.

• Defines relational tables, primary and foreign keys, and stored procedures to create a data model struc

Education

Bachelor's degree

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