Description

You will design and implement large-scale data engineering solutions and ETL pipelines to support next-generation data analytics.

Responsibilities

• Design, develop, and implement large-scale data engineering solutions and ETL pipelines.
• Manage the full development life cycle from requirements gathering through to post-release support.
• Troubleshoot and optimize the performance of data pipelines and analytics solutions.
• Collaborate with global development teams and internal clients in an Agile delivery model.

Required Skills

• 5+ years of experience implementing large-scale data engineering projects.
• Proficiency in SQL.
• Proficiency in one programming language: Java, Scala, or Python.
• Strong working knowledge of RDBMS databases.
• Hands-on experience with Apache Spark and Airflow.
• Experience with Snowflake.
• Experience working in an Agile delivery model.
• Any Graduate degree.

Preferred Skills

• Experience with Informatica tools.
• Knowledge of cloud-based data platforms including AWS or Azure.
• Familiarity with Power BI or Tableau.

Key Skills

Education

Any Gradute