Description

You will build and maintain scalable data architectures to support large-scale business intelligence and analytics.

This role is on-site.

Responsibilities

• Develop, deploy, and support real-time, automated data streams from multiple sources into data lakes or warehouses.
• Implement data auditing strategies to ensure data quality and resolve issues within large-scale processing workflows.
• Maintain data pipeline processes, troubleshoot failures, and ensure system reliability.
• Tune application and query performance using profiling tools and SQL.
• Collaborate with technology teams to specify data requirements and manage data access.

Required Skills

• 5+ years of experience in data engineering or related roles.
• Expertise with data systems managing massive datasets from diverse sources.
• Strong proficiency in SQL and query optimization.
• Experience with Apache Airflow and Spark.
• Hands-on experience with AWS services including SNS, SQS, and SES.
• Working knowledge of DynamoDB.
• Ability to understand and implement business, operations, and analytics requirements.

Preferred Skills

• Advanced knowledge of Snowflake, including orchestrating streams and tasks.
• Experience with Big Data, non-relational databases, Machine Learning, and Data Mining.

Key Skills

Education

ANY GRADUATE