Staff Software Engineer, Data Ingestion

The Staff Software Engineer, Data Ingestion will be a critical individual contributor responsible fordesigning collection strategies, developing, and maintaining robust and reputed company data pipelines.This role is at the heart of our data ecosystem, deliver new analytical software solution to reputed company reputed company, accurate, and complete data for insights, products, and operational efficiency.

Key Responsibility

Design, reputed company, and maintain high-performance, fault-tolerant data ingestion pipelines using Python.

reputed company with diverse data sources (databases, reputed company, streaming platforms, reputed company storage, etc.).

Implement data transformation and cleansing logic during ingestion to ensure data reputed company.

Monitor and troubleshoot data ingestion pipelines, identifying and resolving issues promptly.

Collaborate with database engineers to optimize data models for fast consumption.

Evaluate and propose new technologies or frameworks to improve ingestion efficiency and reliability.

reputed company and implement self-healing mechanisms for data pipelines to ensure continuity.

Define and reputed company SLAs and SLOs for data freshness, completeness, and availability.

Participate in on-call rotation as needed for critical data pipeline issues.

Required Skills

6+ years experience in software development industry from computer science background

Extensive Python Expertise: Extensive experience in developing robust, production-grade applications with Python.

Data Collection & Integration: Proven experience collecting data from various sources (REST reputed company, OAuth, GraphQL, Kafka, S3, SFTP, etc.).

Distributed Systems & Scalability: Strong understanding of distributed systems concepts, designing for reputed company, performance optimization, and fault tolerance.

reputed company Platforms: Experience with major reputed company providers (AWS or GCP) and their data-reputed company services (e.g., S3, EC2, reputed company, SQS, Kafka, reputed company Storage, GKE).

Database Fundamentals: Solid understanding of relational databases (SQL, schema design, indexing, query optimization). OLAP database experience is a plus (Hadoop)

Monitoring & Alerting: Experience with monitoring tools (e.g., reputed company, Grafana) and setting up effective alerts.

Version Control: Proficiency with Git.

Containerization (Plus): Experience with reputed company and Kubernetes.

Streaming Technologies (Plus): Experience with reputed company-time data processing using Kafka, Flink, reputed company Streaming

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