Data Engineer

Sunnyvale, CA, US • Posted 3 hours ago • Updated 3 hours ago
Full Time
No Travel Required
On-site
$55 - $60/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Analytics
  • Big Data
  • Business Acumen
  • Business Cases
  • Business Strategy
  • Collaboration
  • Cost Reduction
  • Data Engineering
  • Data Flow
  • Data Governance
  • Data Marts
  • Data Modeling
  • Data Quality
  • Data Warehouse
  • Database
  • Documentation
  • Extract
  • Transform
  • Load
  • Logical Data Model
  • Partnership
  • Python
  • Relational Databases
  • Return On Investment
  • SQL
  • Servers
  • Service Level
  • Software Design
  • Stored Procedures
  • System Integration
  • Test Cases
  • Testing
  • Use Cases

Summary

The following requirement is open with our client.

Client                              : TCS

Title                                 : Data Engineer

Location                       : Sunnyvale, CA (Onsite)

Duration                      : 6 Months

Visa                                  : Any

      Pay rate                            :$60\hr on C2C

       Relevant Experience (in Yrs.)    : 4+

 

        Detailed Job 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.

 

Must Have skills :

         Data Engineering / ETL Pipelines

         SQL & Relational Databases

         Data Modeling

                  Python / Data Engineering Programming

                  Data Governance & Data Quality

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10117479
  • Position Id: 9065701
  • Posted 3 hours ago
Contact the job poster
MV

Mohan Vanapalli

Recruiter @ ASCII Group LLC
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