To design, build, and optimize scalable data infrastructure and pipelines that enable efficient

data collection, transformation, and analysis across the organization. The Senior Data Engineer

will play a key role in driving data architecture decisions, ensuring data quality and availability,

and empowering analytics, product, and engineering teams with reliable, well-structured data to

support business growth and strategic decision-making.

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

• 4+ 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 PostgreSQL, DynamoDB, S3, GraphQL, or
  
  

vector databases.

• 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 distributed systems, data partitioning, and consistency models.
• Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry) and
  
  

debugging production bottlenecks.

• Deep understanding of cloud infrastructure (preferably AWS), including networking, IAM,
  
  

and cost optimization.

• Prior experience building multi-tenant systems with strict performance and isolation
  
  

guarantees.

• Excellent communication and collaboration skills to influence cross-functional technical
  
  

decisions.

Skills:- AWS Lambda, Amazon Redshift, Snow flake schema, Python and SQL