Data Engineer (m/f/d)
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Key skills for this role
About the Role
Halian is seeking a skilled Data Engineer with strong expertise in Azure-based data platforms, including Databricks and Delta Lake, for a 6-month extendable contract in Abu Dhabi. The role involves building, validating, and maintaining scalable data pipelines while ensuring high data quality and reliability.
Key Skills for This Role
Responsibilities
- Develop, validate, and optimize ETL/ELT pipelines using Azure Databricks, Delta Lake, and Azure Data Factory (ADF)
- Perform data profiling, cleansing, and reconciliation between source and target systems
- Identify and resolve data issues such as duplicates, null values, schema mismatches, and incremental load failures
- Ensure data consistency and integrity across Bronze, Silver, and Gold layers in a Lakehouse architecture
- Design and implement automated data quality checks, validation frameworks, and monitoring solutions
- Troubleshoot data pipeline issues and support defect resolution in collaboration with cross functional teams
- Work closely with Data Engineers, BI developers, and business stakeholders to ensure accurate data delivery
- Maintain data governance standards, documentation, and best practices
Requirements
- 4+ years of experience in data engineering
- Strong proficiency in SQL and data analysis
- Hands on experience with Azure Databricks and Delta Lake
- Experience with Azure Data Factory (ADF) for pipeline orchestration
- Knowledge of incremental data load strategies (CDC, watermarking, SCD)
- Experience in data profiling, validation, and reconciliation techniques
- Understanding of data governance and data quality frameworks
Full Job Posting
Role Overview
- We are seeking a skilled Data Engineer with strong expertise in Azure based data platforms, including Databricks and Delta Lake.
- The ideal candidate will be responsible for building, validating, and maintaining scalable data pipelines while ensuring high data quality and reliability across the data lifecycle.
Key Responsibilities
- Develop, validate, and optimize ETL/ELT pipelines using Azure Databricks, Delta Lake, and Azure Data Factory (ADF)
- Perform data profiling, cleansing, and reconciliation between source and target systems
- Identify and resolve data issues such as duplicates, null values, schema mismatches, and incremental load failures
- Ensure data consistency and integrity across Bronze, Silver, and Gold layers in a Lakehouse architecture
- Design and implement automated data quality checks, validation frameworks, and monitoring solutions
- Troubleshoot data pipeline issues and support defect resolution in collaboration with cross functional teams
- Work closely with Data Engineers, BI developers, and business stakeholders to ensure accurate data delivery
- Maintain data governance standards, documentation, and best practices
Required Skills
- Strong proficiency in SQL and data analysis
- Hands on experience with Azure Databricks and Delta Lake
- Experience with Azure Data Factory (ADF) for pipeline orchestration
- Knowledge of incremental data load strategies (CDC, watermarking, SCD)
- Experience in data profiling, validation, and reconciliation techniques
- Understanding of data governance and data quality frameworks
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