Data Engineer

3 weeks ago


new delhi, India PanScience Innovations (PSI) Full time

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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