Job Description
Key Responsibilities
- Develop, test, and maintain high-quality full stack applications and data solutions.
- Lead technical design discussions and ensure best practices in coding, security, and testing.
- Drive requirement engineering and align solutions with business needs.
- Manage PICS process for Problems, Incidents, and Change management.
- Mentor junior developers and foster knowledge sharing.
- Collaborate with data engineers, analysts, and product owners.
- Implement and maintain CI/CD pipelines and automation for deployments.
- Ensure data governance, quality, and security standards.
- Participate in code reviews, architecture reviews, and team planning sessions.
Essential Skills
- 7+ years hands-on experience in data engineering and full stack development.
- Strong knowledge of streaming data (Structured Streaming, Kafka, Delta Live Tables).
- Familiarity with materialized views, streaming tables, data catalogs.
- Proficiency in BI tools (Splunk, Power BI, Grafana).
- Experience with data security frameworks and compliance standards.
- Certifications in Databricks or cloud platforms.
- Familiarity with Infrastructure-as-Code (Terraform, ARM templates).
- Experience with DevOps tools beyond CI/CD (monitoring, logging, alerting).
- Proficiency in Python, Bash, PowerShell for automation.
- Understanding of machine learning pipelines and integration.
- Familiarity with Agile methodologies and tools (Jira, Confluence).
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