Description

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

This role is on-site.

Responsibilities

• Provide technical leadership in modernizing legacy data ingestion, ETL/ELT, and databases to cloud technologies.
• Implement data access, classification, and security patterns that comply with regulatory standards.
• Integrate data from multiple sources into cloud-based architectures and collaborate with cross-functional teams.
• 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 designing and implementing data warehouse and analytics solutions.
• 3+ years of expertise in data warehousing concepts with hands-on experience using Azure Data Factory (ADF) and SSIS.
• 3+ years of experience with cloud data and cloud-native data lakes/warehouses on Microsoft Azure (Fabric, Synapse).
• 2+ years of experience in Python, Scala, or Java for distributed processing and analytics with Spark.
• Familiarity with CI/CD practices and tools such as Azure DevOps, Git, or Jenkins.
• Experience performing data profiling and analysis on structured and unstructured data.
• Ability to translate business requirements into scalable solutions and conduct unit, system, and integration testing.

Preferred Skills

• Experience with AWS data services.
• Strong communication skills for collaborating with stakeholders, business analysts, and SMEs.

Key Skills

Education

Any Graduate