Data Engineer

Role Overview:

Data Engineer

Required Skills:

• 3–5 years of experience in Data Engineering or Backend Engineering roles
• Strong experience with 

  AWS Lambda

   and serverless data architecture
• Proficient in 

  Python

   or 

  Node.js

   for writing Lambda functions
• Solid experience with 

  PostgreSQL

   – schema design, optimization, and advanced SQL
• Proven expertise in 

  data modeling

   for analytics and reporting
• Hands-on experience with 

  Looker

   (LookML, dashboards, data exploration)
• Familiarity with AWS services like S3, CloudWatch, API Gateway, and IAM
• Excellent debugging, problem-solving, and communication skills

Key Responsibilities:

• Design, develop, and deploy serverless data ingestion pipelines using 

  AWS Lambda

• Write and optimize 

  Lambda functions

   to clean, transform, and push data into 

  PostgreSQL

• Develop and maintain scalable, efficient data models supporting analytical workloads
• Create LookML models and build dashboards in 

  Looker

   to enable self-service analytics
• Maintain database integrity, indexing, and performance optimization
• Collaborate with product, engineering, and analytics teams to understand data needs
• Build robust error-handling, logging, and retry mechanisms for data pipelines
• Ensure data governance, quality, and security best practices are followed

Good to Have:

• Experience integrating third-party APIs or webhooks into Lambda functions
• Familiarity with data warehousing concepts (e.g., Snowflake, Redshift, or BigQuery)
• Exposure to CI/CD for data pipelines using tools like GitLab or Jenkins
• Understanding of modern data stack tools (Fivetran, dbt, Airflow, etc.)