Description

You will design and implement scalable data architecture and analytics solutions to support real-time and batch-based consumer data needs.

Responsibilities

• Establish best practices for data ingestion, integration, and access patterns.
• Lead the development of scalable data architecture for business and analytic use cases.
• Drive continuous data transformation to minimize technical debt.
• Create test protocols, test scripts, and validation deliverables.
• Provide technical support for data pipelines and advanced analytics solutions to local end users.

Required Skills

• 5+ years of experience designing and implementing complex data systems from the ground up.
• Proficiency in Python, SQL, and Spark.
• Experience building batch and streaming pipelines using PySpark and Pandas.
• Ability to develop and optimize machine learning models to extract insights from complex data.
• Experience transforming data using SQL, NoSQL, and Python.
• Experience with data visualization using Python and R.
• Working knowledge of cloud services in AWS or Microsoft Azure.
• Experience with OpenShift, EKS, ECS, and Databricks.
• Any Graduate degree.

Key Skills

Education

Any Graduate