Description

You design, develop, and maintain cloud-based data pipelines and solutions to drive analytics and business intelligence capabilities.

This role is on-site.

Responsibilities

• Modernize legacy data ingestion, ETL/ELT, and databases to cloud technologies like Azure.
• Implement data access, classification, and security patterns that comply with regulatory standards.
• Translate business requirements into scalable solutions by collaborating with stakeholders and SMEs.
• Automate, validate, and maintain ETL/ELT processes using Databricks, ADF, SSIS, Spark, Python, and Scala.
• Monitor and optimize the performance of data pipelines and databases while creating detailed documentation.

Required Skills

• 7+ years of experience in data warehouse and analytics solutions.
• 3+ years of expertise in data warehousing concepts including ETL/ELT, data quality, and privacy.
• Hands-on experience with Microsoft Azure services: Fabric Lakehouse, Azure Data Factory (ADF), and Synapse.
• Proficiency in Python, Scala, or Java for distributed processing and analytics with Spark.
• Experience with SSIS and related on-premise data tools.
• Familiarity with CI/CD practices and tools such as Azure DevOps, Git, or Jenkins.
• Ability to perform data profiling and analysis on structured and unstructured data.

Preferred Skills

• Experience navigating ambiguity and resolving constraints with minimal supervision.
• Strong communication skills for presenting to technical teams and stakeholders.

Key Skills

Education

Any Graduate