Description

You will lead the modernization of legacy data ingestion, ETL/ELT, and database systems to cloud technologies.

This role is on-site.

Responsibilities

• Translate business requirements from stakeholders and SMEs into scalable data solutions.
• Design and map ETL/ELT pipelines for new or modified data streams into cloud storage.
• Automate, validate, and maintain ETL/ELT processes using Spark, Python, and Scala.
• Implement data access, classification, and security patterns compliant with regulatory standards.
• Monitor and optimize the performance of data pipelines and databases.

Required Skills

• 4+ years designing and implementing data warehouse and analytics solutions (on-premise and cloud).
• 3+ years expertise in data warehousing concepts (ETL/ELT, data quality, privacy/security, MDM) using ADF, Data Factory, SSIS.
• 3+ years experience with cloud data and cloud-native data lakes/warehouses.
• Proficiency with Microsoft Azure services (Fabric Lakehouse, ADF, Data Factory, Synapse).
• 2+ years experience in Python, Scala, or Java for distributed processing (Spark).
• Familiarity with CI/CD practices and tools like Azure DevOps, Git, or Jenkins.
• Experience with Databricks.

Preferred Skills

• Any Graduate education level.
• 3 years tenure in current or previous similar roles.

Key Skills

Education

Any Gradute