Data Engineer

We are currently sourcing for a Data Engineer to work in our client's location in SmithField RI / Boston MA.(Looking only for Local Candidates) The Expertise and Skills You Bring Bachelor’s degree, preferably in Engineering or Business. 6–9 years of professional experience designing, building, and supporting enterprise-scale data engineering or platform solutions. Strong hands-on experience building and maintaining ELT/ETL pipelines to move and transform data across heterogeneous data platforms, including Snowflake, Oracle, and PostgreSQL . Deep understanding of data structures, relational databases, and cloud-native storage technologies across Snowflake, Oracle, Postgres , and other cloud-based RDBMS platforms. Proficiency in Python and SQL , with practical experience using scripting languages such as Shell and Groovy for automation and data processing. Proven experience designing, implementing, and orchestrating complex data pipelines using Apache Airflow and/or Control M , with a focus on scalability, reliability, and operational efficiency. Hands-on expertise with Docker , including container image creation, multi-stage builds, container registries, and secure, scalable container-based deployments. Strong experience implementing CI/CD pipelines using GitHub and Jenkins , including automated builds, testing, deployments, and adherence to security and quality procedures. Solid understanding of core AWS services , including Lambda, SQS/SNS, EC2, S3, CloudWatch, and IAM roles/policies , supporting data and application workloads in cloud environments. Preferred / Nice to Have Exposure to modern front-end and application development technologies such as Angular, React, Node.js, and TypeScript . Experience working with additional cloud-native databases such as AWS DynamoDB . Familiarity with Go (Golang) for backend or data platform development. Broader experience supporting data solutions across PostgreSQL and AWS-based architectures . #J-18808-Ljbffr PMG Global