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Experience
5 - 10 Years
Job Location
Education
Bachelor of Technology/Engineering
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
We are seeking a skilled Senior Data Engineer with deep expertise in ClickHouse and streaming data, and a passion for building scalable real-time analytics solutions. In this role, you will design, develop, and optimize our data pipelines and analytics infrastructure, empowering our teams to harness real-time insights that enhance customer experience and drive business growth.
Key Responsibilities
Design, implement, maintain and document highly scalable data pipelines for real-time and batch processing.
Build and optimize data systems to support accurate, low-latency analytics and reporting use cases.
Develop and maintain solutions for streaming and serverless data processing.
Collaborate with cross-functional teams to implement and support end-to-end analytics workflows.
Ensure data quality, reliability, and performance across the platform.
Monitor, troubleshoot, and optimize data infrastructure to maintain high availability.
Mentor junior engineers and contribute to the continuous improvement of engineering practices.
Desired Candidate Profile
5+ years of experience in data engineering or related fields.
Strong expertise in ClickHouse: experience in designing schemas and jobs, optimizing data ingestion as well as queries, managing clusters, etc.
Proven experience in real-time data processing and enrichment using tools like Apache Kafka, Apache Flink, Apache Spark Streaming, Serverless technologies like AWS Lambda, GCP Functions, etc.
Deep understanding of Distributed systems architecture and design, with a focus on scalability and resilience, especially in relation to data processing
Proficiency in programming languages like Python, or Java
Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure).
Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
Strong problem-solving skills and ability to work in a fast-paced environment.
Excellent communication and collaboration skills, with a demonstrated ability to work effectively as part of a team.
Preferred Qualifications
Experience in the e-commerce industry or similar high-traffic, data-intensive environments would be a big plus
Knowledge of ETL/ELT tools like Airflow, dbt, or equivalent
Familiarity with monitoring and observability tools for data systems (e.g., Prometheus, Grafana)
Company Industry
- Internet
- E-commerce
- Dotcom
Department / Functional Area
- Engineering
Keywords
- Senior Data Engineer
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