Description

You will engineer enterprise-scale data management solutions and build scalable distributed systems.

This role is remote.

Responsibilities

• Implement data warehouse solutions using modern platforms like Snowflake, Databricks, or Redshift.
• Build data integration solutions between transaction systems and analytics platforms.
• Expand data ingestion pipelines from internal and external sources, transforming data per business needs.
• Develop data tasks for real-time integration, advanced analytics, ML, and BI/reporting.
• Develop data products through enrichment and machine learning application.

Required Skills

• 5+ years building data-driven solutions.
• 3+ years working with AWS services.
• Strong scripting experience in Python and SQL.
• Hands-on experience with AWS Compute, IAM, and networking foundations.
• Experience building data pipelines for structured, semi-structured, and unstructured data across cloud services.
• Experience with AWS Glue ETL and data integration tools like Talend or Kafka.
• Proficiency with cloud-based data warehouse platforms such as Redshift and Snowflake.
• Experience using ML frameworks, including SciKit-learn, PyTorch, or TensorFlow.
• Solid scripting experience in AWS using Lambda functions.

Key Skills

Education

Any Graduate