Bachelor's degree, preferably in Engineering or Business.
6-9 years of experience in enterprise-scale data engineering or platform solutions.
Hands-on experience with ELT/ETL pipelines in Snowflake, Oracle, and PostgreSQL.
Strong understanding of data structures and cloud-native technologies.
Proficiency in Python and SQL; experience with Shell and Groovy for automation.
Experience designing and orchestrating data pipelines with Apache Airflow and/or Control?M.
Responsibilities
Design and build enterprise-scale data engineering solutions.
Implement and maintain ELT/ETL pipelines for data transformation.
Ensure scalability and reliability in data processing workflows.
Create and manage CI/CD pipelines using GitHub and Jenkins.
Leverage AWS core services to support cloud workloads.
Benefits
Work in a collaborative and innovative environment.
Access to ongoing professional development and training opportunities.
Flexible work arrangements to support work-life balance.
Opportunity to work with cutting-edge data engineering technologies.
Full Job Description
The Expertise and Skills You Bring 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.
