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Open nowPosted 462 days ago

Data engineer

Codersbrain

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Your applicationOpen nowData engineerCodersbrain

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 462 days ago

The posting

warehouses.

 Expertise in designing data table structures, reports, and queries.

 Working knowledge of CI/CD

 Working knowledge of building data integrity checks as part of delivery of

applications

 Experience working with Kafka technologies.

 Technical expertise to build code that is performant as well as secure.

 Technical depth and vision to perform POC’s and evaluate different

technologies.

 Experience with Real Time Analytics and Real Time Messaging

 Working experience with Microservices is desirable.

 Design, implement and monitor 'best practices' for Dev framework.

 Experience working with large volume data; retail experience strongly

desired.

 MS Degree in Computer Science or related technical degree completed.

 Possesses an entrepreneurial spirit and continuously innovates to achieve

great results.

 Communicates with honesty & kindness and creates the space for others

to do the same.

 Fosters connection by putting people first and building trusting

relationships.

 Integrates fun and joy as a way of being and working, aka doesn’t take

themselves too seriously.

 Preferred Tools: Snowflake, Microsoft Azure Data Factory, Kafka, Oracle

Exadata, Power BI, SSAS, Oracle Data Integrator

A day in the life:

 Co-ordinate with multiple data source teams in getting data published to

our Finance Data Warehouse

 Working with stakeholders including data, design, product, and executive

teams, and assisting them with data related and technical issues.

 Building Scalable Data Pipelines for generating training datasets for

machine learning deliverables

 Mentoring Junior resources and drive end to end design, implementation,

and delivery of engineering components.

 Communicating with and educate both senior and junior colleagues to

further embed data science and analytics across the organization.

 Strive for continuous improvement of code quality and development

practices.

 Willingness to adapt to and self-learn new technologies and deliver on

them.

 Translating business issues to technical terms

 Understanding, leveraging, and applying best practices effectively. Also

leads by example and comes up with coding standards and best practices

for technology.

 Collaborating with cross-functional teams – business stakeholders,

engineers, program management, project management, etc. - to produce

the best solutions possible.

 Anticipating system/application challenges and proposes solutions for the

same.

 Contributing to story sizing and work estimates for implementation,

validation, delivery, and documentation

 Reviewing user stories to ensure a quality user experience, well-defined

acceptance criteria and thorough test coverage.

 Participating in design and code review to ensure quality and testability of

feature code.y Overview

Company information is not provided.

Job Summary

The purpose and expectations of the role are not defined.

Responsibilities

- Responsibilities of the role are not outlined.

Qualifications

- Qualifications for the role are not specified.

Preferred Skills

- Preferred skills are not made clear.

Experience

Experience requirements are not defined.

Environment

Work setting and location details are not provided.

Salary

Salary information is not specified.

Growth Opportunities

Potential career advancement opportunities are not listed.

Benefits

Benefits offered are not mentioned.

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