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Middle Data Engineer

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Vietnam

Offer summary

Qualifications:

3-5 years of experience, Experience with Azure Data Platform.

Key responsabilities:

  • Design, develop, and maintain data pipelines using ETL processes
  • Build scalable data pipelines and optimize for performance
  • Ensure data quality and consistency across sources
  • Collaborate with stakeholders to meet business data requirements
  • Develop reports and dashboards using Power BI
Dikshatek logo
Dikshatek Human Resources, Staffing & Recruiting SME https://www.dikshatek.vn/
51 - 200 Employees
About Dikshatek
Dikshatek (https://dikshatek.vn/) is a global leader in disruptive technologies and full cycle Recruitment/HR services. With innovative digital platforms and next-generation services, we empower customers in over 25 countries (US, UK, Australia, India, Indonesia, Vietnam e.t.c) to fast track their journey to digital maturity and for their organizational growth and business expansion. Our high quality products and services help clients leverage market opportunities and gain competitive advantage.
See more Dikshatek offers

Job description

Key Responsibilities:

Experience: 3-5 years

Design, develop, and maintain data pipelines and ETL processes using Azure Data Platform (Data Factory, Databricks, Synapse, etc.).

Build and manage scalable data pipelines using Databricks, optimizing for performance and reliability.

Ensure data quality, consistency, and reliability across various data sources and systems.

Develop and maintain efficient data models to support business intelligence and analytical applications.

Collaborate with data analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.

Develop, deploy, and maintain reports and dashboards using Power BI, ensuring data visualization best practices.

Optimize and automate data workflows, ensuring scalability and performance.

Stay updated with best practices in data engineering and analytics.

Troubleshoot and resolve issues related to data pipelines, models, and reporting.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Data QualityData ModelingPower BIDatabricksData EngineeringBusiness IntelligenceData VisualizationAzure Data Catalog

Other Skills

  • Collaboration
  • Problem Solving
Are you interested?

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