Senior Software Engineer - Data Support

We are seeking a Senior Software Engineer based in Pune, India to join our Analytics Organization. In this role, you will serve as the interface between the Analytics and Engineering teams, working closely with researchers and data scientists to achieve impactful results. Your responsibilities will include developing and standardizing interface points for analysts to retrieve and analyze data, optimizing queries and data access efficiencies, and building scalable and robust data architectures. Additionally, you will establish a formal data practice for the Analytics team and implement DataOps practices.

Serve as the Engineering interface between Analytics and Engineering teams

Develop and standardized all interface points for analysts to retrieve and analyze data with a focus on research methodologies and data based decisioning

Optimize queries and data access efficiencies, serve as expert in how to most efficiently attain desired data points

Build “mastered” versions of the data for Analytics specific querying use cases

Help with data ETL, table performance optimization

Establish formal data practice for the Analytics practice in conjunction with rest of DeepIntent

Build & operate scalable and robust data architectures

Interpret analytics methodology requirements and apply to data architecture to create standardized queries and operations for use by analytics teams

Implement DataOps practices

Master existing and new Data Pipelines and develop appropriate solutions

• Senior Software Engineer based in Pune, India
• Master DeepIntent's data architectures and pharma research and analytics methodologies
• Understand DBA functions and their impact on research objectives
• Work with researchers and data scientists to achieve impactful results
• Serve as the Engineering interface between Analytics and Engineering teams
• Develop and standardize interface points for analysts to retrieve and analyze data
• Optimize queries and data access efficiencies
• Build "mastered" versions of the data for Analytics specific querying use cases
• Help with data ETL and table performance optimization
• Establish formal data practice for the Analytics practice
• Build and operate scalable and robust data architectures
• Interpret analytics methodology requirements and apply to data architecture
• Implement DataOps practices
• Master existing and new Data Pipelines and develop appropriate queries
• Collaborate with various business stakeholders, software engineers, machine learning engineers, analysts
• Unify practices for analytics insight creation
• Adept in market research methodologies and using data to deliver insights
• Inquisitive and curious, with the ability to query complicated data sets and move and combine data between databases
• Deep SQL experience
• Exceptional communication skills
• English Language Fluency
• Experience in designing, developing, and operating configurable Data pipelines
• Experience working with public clouds like GCP/AWS
• Good understanding of software engineering

• Exceptional communication skills with ability to collaborate and translate between technical and non-technical needs
• English Language Fluency and proven success working with teams in the U.S.
• Experience in designing, developing and operating configurable Data pipelines serving high volume and velocity data
• Experience working with public clouds like GCP/AWS
• Good understanding of software engineering, DataOps, and data architecture, Agile and DevOps methodologies
• Experience building Data architectures that optimize performance and cost
• Proficient with SQL, Python or JVM based language, Bash
• Ability to think big, take bets and innovate, dive deep, hire and develop the best talent, learn and be curious
• Comfortable to work in EST Time Zone
• Equal employment and advancement opportunities provided to all individuals regardless of race, color, creed, national origin, religion, sex, parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, immigration status, or any other status protected under applicable federal, state and local laws.