Summary
✨ AI‑Generated
A data engineering role focused on designing reliable data platforms, optimizing pipelines, improving reporting performance, and implementing data management practices.
Highlights
Opportunity to build scalable data solutions, develop advanced pipelines, and work on data quality and governance initiatives.
Description
Exciting Opportunity for a Data Engineer!
About Us:
Digital Gates is a leading technology company, specializing in innovative digital solutions for businesses worldwide.
We're committed to excellence and delivering outstanding results for our clients.
Job Description:
We are seeking a Data Engineer to join our development team and play a key role in building scalable, reliable, and high-quality data solutions.
The ideal candidate is passionate about data engineering, data architecture, and developing efficient ETL/ELT pipelines.
Position Details:
Experience: 3–4 years in Data EngineeringEnglish: Very goodDuration: 12–18 monthsStart: In 2–3 weeks
Responsibilities
Design and maintain scalable data models, including 3NF, Dimensional, and Data VaultBuild, optimize, and monitor batch and real-time ETL/ELT pipelinesOptimize complex SQL queries for fast, reliable BI reportingImplement data quality, governance, lineage, and Master Data Management (Customer 360)Integrate internal and external data sources to ensure unified, high-integrity data
Requirements:
3–4 years of professional Data Engineering experienceStrong SQL skills, including complex query optimizationStrong Python skillsExperience with cloud data warehouses such as BigQuery or SnowflakeHands-on experience with AWSStrong understanding of 3NF, Dimensional Models, and Data VaultPractical experience with MDM (Customer 360) and Data GovernanceExperience with Airflow, dbt, Airbyte, AWS Firehose, or similar ETL/orchestration toolsUnderstanding of Unit Testing and CI/CDFamiliarity with Looker or Superset
Why Join Us:
Competitive salary and performance-based incentives.Flexible working hours and remote work options.Opportunities for career advancement and skill development.Supportive and collaborative work culture that values diversity.Access to the latest tools and technologies for professional growth.
How to Apply:
If you're ready to make an impact as a Data Engineer, apply through LinkedIn by submitting your updated CV.
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