Data Engineer
HCL Global Systems
The Expertise and Skills You Bring
Education & Experience
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.
- 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.
- 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 .
Vacancy posted 4 days ago
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