Senior Data Engineer
LETITBEX AI TECH SOLUTIONS
Job description
Role: Data Engineer
Location: Smithfield, RI (Onsite)
Duration: 6-12 Months
Education & Experience
-
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.
Required Technical Expertise (Must Have)
-
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.
Cloud & Platform Experience
- 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, 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
Pay: $60.00 - $65.00 per hour
Expected hours: 40.0 per week
Work Location: In person