Data Operations Engineer: Streamlining Pharmaceutical Intelligence
6 days ago
About Norstella
We aim to accelerate the development of life-saving therapies, making them accessible to those who need them most. Founded in 2022, our company unites leading brands to deliver critical solutions for clients navigating the complexities of the drug development lifecycle.
Our market-leading brands offer must-have answers for strategic and commercial decision-making, helping clients:
- Citeline – shorten the drug development cycle
- Evaluate – bring innovative treatments to market
- MMIT – identify barriers to patient access
- Panalgo – transform data into actionable insights
- The Dedham Group – drive strategic thinking for specialty therapeutics
We combine our expertise, cutting-edge data solutions, and advisory services with advanced technologies like real-world data, machine learning, and predictive analytics to provide world-class solutions globally, from the USA to India.
The Role
We seek an experienced Data Operations Engineer to join our team. This role involves managing data operations, configuring ETL pipelines, executing and monitoring them. The ideal candidate will possess a strong foundation in ETL tools, scripting languages/platforms, and AWS CLI, as well as the ability to troubleshoot, optimize, and scale data infrastructure.
Responsibilities
- Monitor and maintain Java Spark and Ruby-based ETL processes
- Support configuration and execution of ETL pipelines written in Ruby and Spark (Java)
- Conduct basic automation tasks using Bash and Ruby scripting
- Perform AWS operations through the CLI for infrastructure management
- Conduct SQL data analytics tasks to support data-driven decision-making and tools like Athena
- Support basic data engineering tasks and data operations at scale
Requirements
- 0-2 years of experience in data operations or related fields
- Basic knowledge and proficiency in:
- Monitoring and running spark jobs
- Bash scripting for automation tasks
- Ruby and Java programming
- AWS EMR and CLI
- SQL for data analytics
- Ability to perform basic tasks in a structured data environment
- Strong analytical and problem-solving skills
- Ability to work collaboratively in a fast-paced environment
- Excellent communication and organizational skills
- Certification in AWS, Snowflake, or other relevant technologies is a plus
Benefits
- Health Insurance
- Provident Fund
- Reimbursement of Certification Expenses
- Gratuity
- 24x7 Health Desk
Estimated Salary: $80,000 - $120,000 per year
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