Description

Design and build large-scale enterprise data solutions and applications on AWS.

Responsibilities

• Design, build, and operationalize large-scale data pipelines from ingestion to consumption.
• Analyze, re-architect, and migrate on-premises data warehouses to AWS cloud platforms.
• Optimize complex SQL queries and database architectures for large data warehouses or data lakes.
• Implement streaming data processing within big data architectures.
• Manage and maintain data applications using DevOps practices.

Required Skills

• 3+ years of experience designing large-scale on-premises data warehouse solutions.
• 1+ years of hands-on experience with AWS data and analytics services including Redshift, Glue, Lambda, Kinesis, DynamoDB, S3, DMS, and RDS.
• Proficiency in Java, Python, or Scala for building data pipelines.
• Expert-level SQL writing and optimization skills.
• Experience with Big Data technologies such as Spark, EMR, Hadoop, and Hive.
• Experience with Snowflake and streaming data processing.
• Working knowledge of UNIX, Linux, or Solaris operating systems.

Preferred Skills

• Experience with BI tools.
• Hands-on experience implementing DevOps for data applications.

Key Skills

Education

Any graduate