Description

You will design, build, and maintain data pipeline architectures and manage datasets within data catalogues. This role focuses on connecting operational systems with analytics and BI platforms while ensuring scalability and performance.

This role is on-site.

Responsibilities

• Design and maintain optimal data pipeline architectures and manage datasets.
• Develop and optimize data flows between operational systems and analytics platforms.
• Write and maintain high-quality ETL scripts and document source-to-target mappings.
• Identify process enhancements, automate manual tasks, and redesign infrastructure for scalability.
• Collaborate with stakeholders to provide infrastructure support and solve complex data challenges.

Required Skills

• 5+ years of experience in software engineering or data engineering.
• Strong proficiency in Python for data processing and scripting.
• Experience with cloud platforms: AWS, Azure, or GCP.
• Hands-on experience with data warehouses and lakehouses: Snowflake, Databricks, or Redshift.
• Proficiency in SQL databases: PostgreSQL, MySQL, or Microsoft SQL Server.
• Experience building ETL pipelines and working with streaming technologies like Kafka.
• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Any Graduate