Data Engineer

We are currently sourcing for a Data Engineer to work in our client's location in Smith Field RI / Boston MA.(Looking only for Local Candidates)

• 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 Git Hub 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, Cloud Watch, and IAM roles/policies
  , supporting data and application workloads in cloud environments.

• Exposure to modern front-end and application development technologies such as Angular, React, Node.js, and Type Script .
• 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
  .