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REDICA Systems

Life sciences regulatory analytics platform

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • At least 5 years of senior or lead developer experience, emphasizing technical mentorship, code/system architecture, and quality output.
  • Extensive experience designing and building data pipelines, data APIs, and ETL/ELT processes.
  • Deep, hands-on experience in Python.
  • Hands-on experience setting up, configuring, and maintaining SQL and NoSQL databases, including MySQL/MariaDB, PostgreSQL, and MongoDB.
  • A degree in Computer Science, Computer Engineering, or a similar technical field.

Responsibilities

  • Design, build, and optimize the core data platform, spending approximately 70% of the role coding.
  • Mentor junior-to-mid-level engineers and serve as a technical point of contact through code reviews, pair programming, and guidance on engineering practices.
  • Set technical standards and lead code reviews.
  • Drive technical decisions across data subsystems and translate high-level product requirements into scalable, maintainable engineering tasks.
  • Work with Engineering Managers and Product Managers to prioritize technical backlog items, estimate effort, and break complex epics into work items for junior developers.
  • Design, build, and maintain scalable ETL/ELT data pipelines, APIs, and microservices for high-volume regulatory and health agency datasets.
  • Identify root causes of data quality issues and implement automated testing, monitoring, and validation frameworks to ensure data accuracy.
  • Integrate data processing pipelines with downstream NLP/ML services and search engines, including the ELK stack.
  • Ensure reliable production deployments and assist operations teams in resolving complex escalated pipeline or database incidents.

Desired Qualifications

  • Experience with the data engineering stack within AWS, including S3, Lake Formation, Lambda, Fargate, Kinesis Data Streams/Data Firehose, DynamoDB, and Neptune DB.
  • Experience with event-driven data architectures.
  • Experience with the ELK stack, including Elasticsearch, Logstash, and Kibana.

About the Company

REDICA Systems

Life sciences regulatory analytics platform

Redica Systems offers a data analytics platform that provides quality and regulatory intelligence to life sciences companies. It helps pharma and medical technology firms improve product quality and reduce regulatory risk by delivering actionable data insights through a comprehensive suite of tools. The platform works by aggregating and analyzing regulatory and quality data to guide decision-making, compliance, and quality assurance across products and processes. What sets Redica apart is its dedicated focus on the life sciences regulatory and quality landscape, its large customer base (over 200 companies), and a subscription model that provides ongoing access to up-to-date intelligence and analytics. The company’s goal is to help life sciences professionals navigate complex regulatory requirements, maintain high product quality, and minimize compliance risk.

Company size
51-200
Company stage
Debt Financing
Total funding
$52M
Headquarters
Pleasanton, CA
Founded
2010

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