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Senior Data Engineer - DV 2.0 Certified

6 hours, 50 minutes ago
Sri Lanka
Full-time
Senior
Data Engineer
Data Science and Analytics
Agile Azure CI/CD JIRA Power BI Scrum Snowflake SQL SQL Server
Apply Now
Dijital Team

Dijital Team

Join Dijital Team, the globally recognized A-Team for IT Services. Explore our open positions and stay ahead in your career.

Internet Software & Services
11-50
Founded 2023
View All Jobs 3

Description

  • Build and maintain ELT pipelines and transformations in Snowflake with a strong focus on SQL quality and performance.
  • Develop and optimise Snowflake stored procedures and SQL-based transformations aligned to engineering standards.
  • Design and implement Data Vault 2.0 structures (Hubs, Links, Satellites) including business vault logic where required.
  • Re-model legacy reporting data into scalable, auditable Data Vault patterns.
  • Collaborate with architects and domain experts to interpret and codify business rules, especially where rules differ across legacy systems.
  • Create and maintain reporting-ready layers (information marts / dimensional patterns) to support Power BI and downstream reporting.
  • Support new delivery methods for end users (e.g., Power Automate outputs) where required.
  • Work with ingestion patterns where source data lands as Parquet/delta-style structured files.
  • Use and support orchestration via Azure Data Factory (ADF) for onboarding new sources and maintaining reliable workflows.
  • Operate in an Agile delivery environment, contributing to sprint planning, estimation, peer reviews, and continuous improvement.

Requirements

  • 4–5 years of experience in Data Engineer roles delivering enterprise data platforms and pipelines.
  • Mandatory Data Vault 2.0 certification with demonstrated capability in modelling and implementation.
  • Strong SQL skills including complex transformations, performance tuning, and procedural logic.
  • Hands-on experience with Snowflake and the ability to further ramp up using strong SQL foundations.
  • Experience working with cloud data ecosystems, ideally Azure.
  • Ability to translate business/reporting requirements into scalable data models and transformations.
  • Experience with Azure Data Factory (ADF) (desirable).
  • Familiarity with Parquet / delta-style file-based ingestion patterns (desirable).
  • Experience building reporting layers/information marts and/or dimensional modelling (desirable).
  • Exposure to Data Vault tooling such as IRIS and CI/CD / DevOps practices for data engineering (desirable).
  • Snowflake certification (desirable) and Azure Fundamentals certification (desirable).

Benefits

  • Full-time position with remote work option.
  • Opportunity to work on a modern cloud data platform (Snowflake on Azure) and implement Data Vault 2.0.
  • Collaborative, growing data engineering team with peer reviews and knowledge-sharing in an Agile environment.

Interested in this position?

Apply directly on the company website

Apply Now

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