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# Data Engineer

- **Company:** VDart, Inc.
- **Location:** Parsippany-Troy Hills, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Business Logic, Microsoft Azure, Databases, Data Conversion, Data Files, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Relational Databases, Software Design Patterns, Document-Oriented Databases, Amazon DynamoDB, Elasticsearch, Python (Programming Language), Microsoft SQL Server, MongoDB, NoSQL, Oracle (Applications), Standard Sql, Amazon Simple Notification Service (SNS), SQL Databases, SQL Server Integration Services, Data Streaming, Talend, Cloud Platform System, Snowflake, Apache Spark, Amazon Relational Database Service, Information Technology, Cassandra, AWS Data Analytics, Vertica, Data Delivery, Cloudwatch, Sql Tuning
- **Published:** October 27, 2026
- **Apply:** https://www.careerjet.com/jobad/us8317cee34945d3f0d0076268f48788dc

## About the Role

Knowledge of AWS Infrastructure including S3, SNS, Ec2, CloudWatch and RDS
8-9 years working in ETL/Data transformation projects with one or more related products such as Informatica or Talend or Microsoft SSIS
8+ years working in business intelligence, data warehousing initiatives
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases like Oracle or Ms Sql Server or Vertica.
Good to have at least 1+ years working with Matillion ELT tool and Snowflake Database
Good to have experience in building AWS Data Pipelines using Python or Spark, SparkSQL in any of Cloud Environments (AWS / Azure / Google).
Good to have - Experience with any of the NoSQL datastores such as ElasticSearch, MongoDB, DynamoDB, Cassandra, Bachelor's in mathematics, Computer Science or related technical field. Post graduate degree preferred. Minimum 7+ years of relevant experience.

## Description

We are looking for a Senior Data Engineer to expedite our Data Platform Stack to support our developers, database architects, data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects in a dynamic environment.
Responsibilities
Analyze and interpret complex data sets. Ability to identify data anomalies and resolve data issues
Understand specific business processes and domain concepts and relate them to data subject domains
Collaborate with Data Leads, Data Analysts and QA analysts to validate requirements, participate in user requirement sessions
Perform tests and validate data flows and prepare ETL processes according to business requirements
Perform ETL tuning and SQL tuning
Ability to document data flows representing business logic in ETL routines
Design and implement data conversion strategy from legacy to new platforms
Perform design validation, reconciliation, and error handling in data load processes
Design and prepare technical specifications and guidelines including ER diagrams and related documents Qualifications
Must be well versed with Data warehousing concepts including design patterns (Star schemas, Snowflake design schemas). Must be aware of data modeling concepts including the data modeling Normal forms