Senior Engineer
- Posted 7 days ago
- Be among the first 20 applicants
Job Description
Technologies
- Cloud: AWS, Azure (data integration workloads, cloud-native services)
- Integration Frameworks: Apache Camel (preferred), Spring Integration, Mule ESB, Talend
- Data Integration: ETL/ELT, batch processing, streaming, messaging systems (e.g., Kafka, JMS)
- Containerization & Orchestration: Docker, Kubernetes (EKS), Helm
- Infrastructure as Code: Kubernetes manifests (YAML), Kustomize, Helm charts
- API & Interoperability: REST APIs, data exchange patterns
- Version Control Tool: GitHub
- CI/CD: GitHub Actions, Azure DevOps, Jenkins
- Programming Languages: Java, Python, Groovy, Shell scripting
- Database Systems: PostgreSQL, MySQL, SQL Server
- Data Governance & Quality: Metadata management, data validation, data quality frameworks
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 4–5 years of hands-on experience in system integration, platform engineering, cloud-based application support, or data integration.
- Familiarity with any one of the enterprise integration frameworks such as Apache Camel,
- Spring Integration, Mule ESB, or Talend.
- Working understanding of integration patterns including APIs, messaging, batch processing and streaming concepts.
- Experience supporting and implementing system integrations across enterprise applications and platforms.
- Ability to analyze source systems, contribute to data mapping, and maintain technical or metadata documentation.
- Familiarity with data governance and data quality concepts, including validation, standards and metadata practices.
- Exposure to cloud platforms such as AWS, Azure, or GCP, including supporting application or integration workloads in cloud environments.
- Working knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
- Familiarity with CI/CD pipelines and tools such as GitHub Actions, Jenkins, or Azure DevOps.
- Proficiency in scripting or automation using Python, Bash, PowerShell, or similar languages.
- Working knowledge of relational databases such as PostgreSQL, MySQL, or SQL Server.
- Understanding of system scalability, performance, and reliability in distributed environments.
- Ability to document technical designs, system flows, deployment approaches, and business or technical requirements.
- Experience supporting deployments, troubleshooting technical issues, and contributing to performance improvements.
- Strong collaboration and communication skills, with the ability to work across engineering, platform, data, and business teams.
- Detail-oriented with the ability to manage multiple technical tasks and deliver within defined timelines.
More Info
Key Skills
Kustomize
GitHub Actions
EKS
Kubernetes manifests
About Company
Skills:
Java, Device Drivers, C, Computer Architecture, Python, Linux Internals, Operating System Concepts, Assembly
Skills:
Tensorflow, MLops, Pytorch, Python, machine learning engineering, generative AI, Ai Development
Skills:
workflow engines , API security, Data Protection, Logging, Javascript, automation, Python, Scripting, Java, cloud security, Vulnerability Management, PowerShell, Bash, Application Security, Security Controls, Iam, orchestration tools, AI platforms, Go, vector databases, API integrations, LLMs, retrieval-augmented generation, DevSecOps practices, Monitoring, low-code no-code automation platforms, prompt workflows, AI agents, agent orchestration
Skills:
snowflake , Gcp, Sql, AWS, dbt
Skills:
Spark SQL, Git, Pyspark, Databricks, Performance Tuning, Bdc, Apis, Kafka, Azure cloud services, HVR, Fivetran, Airflow, Databricks Delta Lake, Event Hub, SQL data modeling, Unity Catalog, Cloud-native architectures, S/4 HANA, CI/CD pipelines, Azure Data Services