Data Engineer
3 weeks ago
Location : Lucknow, UP
Job Type : Full-time
Experience : 3-5 Years
Position Summary :
We are seeking a highly skilled Data Engineer with 3-5 years of professional experience in building low-latency, high-throughput, scalable, and distributed systems in cloud infrastructure, preferably AWS. The ideal candidate will have a deep understanding of I/O latency, networking, HTTP/HTTPS, and strong expertise in Java or Python. The role will involve developing robust data engineering pipelines using cutting-edge technologies like Spark, Flink, Storm, Kafka, Elasticsearch, Logstash, Kafka Connect, or similar.
Key Responsibilities :
- Design, develop, and maintain highly scalable, low-latency data engineering pipelines in cloud environments (preferably AWS).
- Implement distributed data processing systems using frameworks like Apache Spark, Flink, Storm, etc.
- Develop, deploy, and manage messaging and stream-processing systems using Kafka or similar technologies.
- Optimize systems for performance by reducing I/O latency and ensuring high-throughput processing.
- Ensure robust data storage and retrieval systems, leveraging both RDBMS and NoSQL databases.
- Collaborate with cross-functional teams, including data scientists, software engineers, and DevOps to deliver high-performance data pipelines.
- Monitor and troubleshoot the performance and availability of production systems, identifying and resolving bottlenecks.
- Apply best practices in data architecture, ensuring secure, scalable, and efficient systems.
- Document technical designs, system architectures, and implementation strategies.
Required Qualifications :
- Education : Bachelor's Degree in Engineering (B.E./B.Tech.) in Computer Science, Information Technology, or related fields.
- Experience : 3-5 years of experience building scalable and distributed systems in cloud infrastructure (preferably AWS).
- Strong proficiency in Java or Python for data pipeline development.
- Deep understanding of cloud infrastructure, distributed systems, and cloud-native services.
- Expertise in I/O latency, networking, and protocols such as HTTP/HTTPS.
- Experience with big data processing frameworks such as Apache Spark , Apache Flink , or Apache Storm .
- Hands-on experience with message brokers and stream-processing technologies like Apache Kafka , Kafka Connect , etc.
- Solid understanding of RDBMS (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Cassandra, DynamoDB, Elasticsearch).
- Familiarity with data pipeline orchestration tools and monitoring platforms.
Preferred Skills :
- Experience with AWS services (EC2, S3, RDS, EMR, Lambda, etc.).
- Familiarity with DevOps tools for CI/CD and infrastructure management (Terraform, Ansible).
- Knowledge of data warehousing concepts and tools like Redshift, Snowflake.
- Experience with containerization and orchestration technologies (Docker, Kubernetes).
Key Competencies :
- Excellent problem-solving skills with attention to detail.
- Ability to work in a fast-paced, collaborative environment.
- Strong communication skills and the ability to work well in a team.
Compensation : 6 -12 LPA
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