Data Engineer

2 years

8 - 16 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Responsibilities

  • Develop, and maintain SQL and NoSQL databases, ensuring high performance, scalability, and
reliability.
  • Collaborate with the API team and Data Science team to build robust data pipelines and
automations.
  • Work closely with stakeholders to understand database requirements and provide technical
solutions.
  • Optimize database queries and performance tuning to enhance overall system efficiency.
  • Implement and maintain data security measures, including access controls and encryption.
  • Monitor database systems and troubleshoot issues proactively to ensure uninterrupted
service.
  • Develop and enforce data quality standards and processes to maintain data integrity.
  • Create and maintain documentation for database architecture, processes, and procedures.
  • Stay updated with the latest database technologies and best practices to drive continuous
improvement.
  • Expertise in SQL queries and stored procedures, with the ability to optimize and fine-tune
complex queries for performance and efficiency.
  • Experience with monitoring and visualization tools such as Grafana to monitor database
performance and health

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience
  • 2+ years of experience in data engineering, with a focus on large-scale data systems.
  • Proven experience designing data models and access patterns across SQL and NoSQL
ecosystems.
  • Hands-on experience with technologies like SQL, DynamoDB, S3, and Lambda services.
  • Proficient in SQL stored procedures with extensive expertise in MySQL schema design, query
optimization, and resolvers, along with hands-on experience in building and maintaining data
warehouses.
  • Strong programming skills in Python or JavaScript, with the ability to write efficient,
maintainable code.
  • Familiarity with observability stacks (Prometheus, Grafana, Open Telemetry) and debugging
production bottlenecks.
  • Understanding cloud infrastructure (preferably AWS), including networking, IAM, and cost
optimization.
  • Excellent communication and collaboration skills to influence cross-functional technical
decisions.
Skills:- Python, SQL, AWS Lambda, Snow flake schema and Amazon Redshift

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