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InfoVision Inc.

Sr Data Engineer

InfoVision Inc., Hempstead, New York, United States

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Hi We have an immediate Openings with Our Direct Client for a Long-term contract position Location: Hempstead NY or Basking Ridge NJ or Columbus OH or Dallas TX Duration: 12 months Role Overview: 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. 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 Required Skills: Overall 15+ 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.) If interested, Please share below details with update resume: Full Name: Phone: E-mail: Rate: Location: Availability: Date of Birth: LinkedIn Profile: Availability for the interview: Availability for the project: Seniority level

Seniority level Mid-Senior level Employment type

Employment type Contract Job function

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