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Tech Stack
Tools & technologiesAWSAzureCloudPythonScalaSparkSQL
About the role
Key responsibilities & impact- Lead the design, build, and operation of data and analytics platforms supporting commercial reporting, advanced analytics, and AI/ML use cases.
- Own operational pipelines for batch and streaming data ingestion, transformation, and serving, ensuring reliability, scalability, and performance.
- Implement and maintain DataOps automation using CI/CD, infrastructure-as-code, and configuration management to support analytics and ML workloads.
- Partner with infrastructure and platform teams to ensure data platforms are deployed using standardized cloud-native patterns (AWS/Azure).
- Own end-to-end data reliability, including freshness, completeness, accuracy, and availability across analytics and AI pipelines.
- Implement data observability and monitoring capabilities (e.g., pipeline health, schema drift, SLA/SLO tracking).
Requirements
What you’ll need- 8+ years of experience in data engineering, analytics engineering, or DataOps roles.
- Strong hands-on experience building and operating production data pipelines in AWS or Azure environments.
- Proven expertise in: Modern data processing frameworks (e.g., Spark, SQL-based transformation tools)
- CI/CD and automation for data platforms
- Data pipeline orchestration and monitoring
- Solid understanding of testing and quality practices for data systems, including: Automated data quality testing
- Pipeline validation and regression testing
- Supporting non-functional testing (performance, reliability, scalability)
- Experience implementing data observability, monitoring, and incident management practices.
- Demonstrated experience with secure data handling and governance, including access control and compliance-aware environments.
- Proficiency in programming and scripting (e.g., Python, SQL, Scala, Bash).
Benefits
Comp & perks- Professional development opportunities
- Flexible working hours
- Health insurance
- Paid time off
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data Pipeline DevelopmentCI/CD ImplementationAutomated Data Quality TestingPython ProgrammingSQL ProficiencySpark FrameworkScala ProgrammingBash ScriptingData Transformation ToolsPerformance Testing