
Senior Data Infrastructure Specialist
2 days ago
About This Role:
We are seeking a highly skilled Senior Data Engineer to join our team. As a key member of the engineering department, you will be responsible for designing and maintaining end-to-end data infrastructure that powers our AI-driven observability platform.
This is a hands-on engineering role requiring deep expertise in data architecture, cloud technologies, and performance optimization. You will work with large-scale datasets, both structured and unstructured, and design scalable pipelines that enable real-time monitoring, analytics, and machine learning.
Key Responsibilities:
- Design, develop, and maintain scalable ETL/ELT pipelines from scratch using modern data engineering tools
- Ingest and transform high-volume data from multiple sources, including APIs, telemetry, and internal systems
- Write high-performance code to parse and process large files (JSON, XML, CSV, etc.)
- Ensure robust data delivery for downstream systems, dashboards, and ML models
Infrastructure & Optimization:
- Build and manage containerized workflows using Docker and Kubernetes
- Optimize infrastructure for performance, availability, and cost-efficiency
- Implement monitoring, alerting, and data quality checks across the data pipeline stack
Collaboration & Best Practices:
- Work closely with AI/ML, backend, and platform teams to define and deliver on data requirements
- Enforce best practices in data modeling, governance, and engineering
- Participate in CI/CD processes, infrastructure automation, and documentation
Requirements:
Experience:
- 4+ years of hands-on experience in data engineering or similar backend roles
- Proven experience designing and deploying production-grade data pipelines from scratch
Technical Skills:
- Proficiency in Python or Scala for data processing
- Deep knowledge of SQL and noSQL systems (e.g., MongoDB, DynamoDB, Cassandra, Firebase)
- Hands-on experience with cloud platforms (AWS, GCP, or Azure)
- Familiarity with data tools like Apache Spark, Airflow, Kafka, and distributed systems
- Experience with CI/CD practices and DevOps for data workflows
Bonus Points:
- Background in the telecom or IoT industry
- Certifications in cloud platforms or data technologies
- Experience with real-time streaming, event-driven architectures, or ML/Ops
- Familiarity with big data ecosystems (e.g., Hadoop, Cloudera)
- Knowledge of API development or experience with Flask/Django
- Experience setting up A/B test infrastructure and experimentation pipelines
What We Offer:
- Performance-Based Compensation: Tied to achieving and exceeding performance targets
- Shares and Equity: Participation in our Employee Stock Option Plan (ESOP)
- Growth Opportunities: Sponsored courses, certifications, and continuous learning programs
- Comprehensive Benefits: Health insurance, pension contributions, and professional development support
- Annual Vacation: Generous paid annual leave
- Dynamic Work Environment: A culture of innovation, collaboration, and creative freedom
- Impact and Ownership: Shape the future of digital infrastructure and leave your mark
- Flexible Work Arrangements: Options to work remotely or from our offices
- A Mission-Driven Team: Join a diverse, passionate group committed to meaningful change
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