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Husky Technologies

Data Engineer

Early Applicant
  • a month ago
  • Be among the first 50 applicants

Job Description

The Data Engineer within Husky DST Data team will be working within the global DST team to support and maintain overall Husky Enterprise BI reporting and Data Management solutions. The Data Engineer will assist in proactively monitoring Enterprise Data Warehouse (EDW) back-end data load process, carry out deployment and governance of development artifacts and assist in design and development of data movement artifacts both on-prem and Azure Cloud. The Data Engineer will also assist in Data Management initiatives, focused on delivering Husky's current and future information needs. This role also will lead in Infrastructure capacity and solution performance assessments and recommend improvements. Responsibilities:

  • Successfully execute Enterprise Business Intelligence projects from functional to BI specifications, analysis, data modelling, solution design, deployment and postproduction support
Interact and moderate as consultant between various cross functional teams, business departments and technical staff
  • Analyze root cause and assist in efficient resolution of all production tickets
Support of the live and pre-production infrastructure
  • Prepare and take part in the periodic release of new software
Interfacing with project teams, business stakeholders & management team
  • Communicate and coordinate with internal and external partners
Requirements analysis and definition
  • Execution of all relevant Project tasks and work packages
Data analysis and data profiling
  • Supporting program manager in delivery of the overall Enterprise Business Intelligence Program
Ensuring that quality standards are met
  • Supporting Master Data Management Strategy

Qualifications:
  • College / University / University of Applied Science degree in Computer Science, Information Management or other technical discipline
5-10 years working experience in business analysis and/or BI related projects
  • Experience with implementing Business Intelligence technologies & products
Experience in DevOps, including CI/C
  • Demonstrated analysis, problem-solving skills, and troubleshooting expertise
Complex problem-solving skills, ability to diagnose & address application issues
  • Experienced in Extraction Transformation Load (ETL) processes of intermediate level to high level of complexity to meet the high availability, data integrity and reliability requirements of the production environment.
Must have a strong knowledge of the following:

o Server operational and application platforms: Windows 2019/2022

o Database and programming platforms and technologies: MS SQL Server 2019/2022, SSAS, Power BI, ADF, Azure data platforms, SSIS, TSQL, VBA, VBScript.
  • Monitor, assess and evaluate ETL results. Through various dimensions of analysis, work closely with Ops and delivery teams to develop actionable recommendations to enhance data quality & application stability
Experience working in an international business environment
  • Basic manufacturing and sales business process knowledge
Strong communication & presentation skills
  • Ability to moderate meetings and constructive design sessions for effective decision making
English language skills are a requirement, German & French are considered an asset .

Job Type: Full-time

Benefits:
  • Food provided
Health insurance
  • Life insurance
Provident Fund

Application Question(s):
  • How many years of experience in MS SQL Server 2019/2022
How many years of experience in SSAS:
  • How many years of experience in Power BI:
How many years of experience in ADF:
  • How many years of experience in Azure data platforms:
How many years of experience in SSIS
  • How many years of experience in TSQL
* How many years of experience in VBA
  • How many years of experience in VBScript

Experience:
  • total work: 5 years (Preferred)

Ability to Commute:
  • Chengalpattu, Chennai, Tamil Nadu (Preferred)

Ability to Relocate:
  • Chengalpattu, Chennai, Tamil Nadu: Relocate before starting work (Preferred)


Work Location: In person

Application Deadline: 08/05/2024

More Info

Industry:Other

Function:Data Engineering

Job Type:Permanent Job

Skills Required

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Date Posted: 20/10/2024

Job ID: 97148475

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