Description

Lead the design and implementation of large-scale data architectures and streaming pipelines.

This role is hybrid.

Responsibilities

• Design and implement end-to-end data architectures using AWS services.
• Build and maintain ETL/ELT pipelines using DBT, Matillion, Informatica, or Glue.
• Develop data models using Erwin to support scalable storage and retrieval.
• Architect real-time streaming solutions using Kinesis, Kafka, or Spark.
• Manage cloud database environments including Snowflake, PostgreSQL, Aurora, and SQL Server.

Required Skills

• 5+ years of experience in data architecture or data engineering.
• Proficiency in Python, SQL, and PySpark.
• Hands-on experience with AWS services: S3, SNS, SQS, Lambda, Glue, EC2, IAM, and CloudFormation.
• Deep knowledge of Snowflake and PostgreSQL.
• Experience with Spark and Spark Streaming.
• Strong understanding of NoSQL and JavaScript.
• Expertise in data modeling and ETL workflows.

Preferred Skills

• Experience with DBT and Matillion for data transformation.
• Familiarity with Erwin for professional data modeling.

Key Skills

Education

Any Graduate