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# Sr. Data Engineer - AWS Lambda & PostgreSQL

- **Company:** Intersources Inc.
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Data Analysis, BigQuery, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Stores, Data Warehousing, Software Debugging, Identity and Access Management, Python (Programming Language), PostgreSQL, Node.Js, Performance Tuning, Standard Sql, Working Model 2D, Data Logging, Sql Optimization, Snowflake, AWS Lambda, Indexer, Gitlab, Semi-structured Data, Cloudwatch, Api Gateway, Webhooks, Looker Analytics, Data Pipelines, Serverless Computing, Jenkins
- **Published:** August 6, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/30822341#/jobs/30822341

## About the Role

Hybrid working model. Bold is MUST have., Overall 10+ years of experience

 * 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

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.)

## Description

We are seeking a skilled Sr Data Engineer to design and implement scalable data pipelines using AWS Lambda that push structured and semi-structured data into a PostgreSQL data store. The role also requires experience in data modeling, Looker dashboard development, and strong SQL/database expertise to support reporting and analytics needs across the organization., * 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


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