Posted:18 hours ago|
Platform:
On-site
Contractual
About the Role
We are seeking a highly skilled and proactive Lead Data Engineer to drive data engineering initiatives, architect scalable data solutions, and mentor a collaborative technical team. The ideal candidate will have strong expertise in Azure-based data platforms and modern data transformation frameworks.
Key Responsibilities
Lead the design, development, and enhancement of scalable data pipelines and architectures.
Drive end-to-end implementation of data ingestion, transformation, and integration workflows.
Work closely with cross-functional stakeholders including BI, Product, and Data Science teams.
Implement and maintain quality data governance practices using Azure and Databricks ecosystem.
Provide leadership, mentorship, and performance guidance to data engineering team members.
Monitor performance, identify optimization opportunities, and ensure high data availability.
Oversee DevOps practices including CI/CD for data pipeline releases.
Ensure documentation, standards, and best practices are followed across the data lifecycle.
Mandatory Technical Skills
Azure Data Factory – Data pipeline orchestration and integration
Databricks – Unity Catalog, Notebooks, Spark-based data processing
dbt – Data transformation and modelling
Azure DevOps Pipelines – CI/CD automation for data workflows
Data Modelling & Analysis – Strong fundamentals in SQL and dimensional modelling
Professional Requirements
Minimum 7+ years of overall experience in data engineering or related roles
Minimum 4+ years of hands-on experience with the technologies listed above
Minimum 2+ years of proven experience leading or mentoring a data engineering team
Preferred Skills (Good to Have)
Knowledge of Delta Lake, Lakehouse architecture
Experience with MLOps or DataOps frameworks
Exposure to cloud cost optimization practices
Strong understanding of metadata and lineage tracking tools
Education
Bachelor’s/Master’s degree in Computer Science, IT, Data Engineering, or related field
Why Join Us?
Opportunity to lead impactful digital transformation initiatives
Collaborative environment with strong growth potential
Work with modern data engineering tools and cloud-native architectures
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