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DeepIntent

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3.7

based on 4 Reviews

3 DeepIntent Senior Software Engineer Jobs

Senior Software Engineer - Data Support

Deepintent

3.7

based on 4 Reviews

5-8 years

Pune

1 vacancy

Senior Software Engineer - Data Support

DeepIntent

posted 24d ago

Job Role Insights

Flexible timing

Key skills for the job

Pharmacy Data Analytics Python SQL Healthcare Clinical Data Management

+ 4 more

Job Description

We are looking for a Senior Software Engineer based in Pune, India who can master both DeepIntent s data architectures and pharma research and analytics methodologies to make significant contributions to how health media is analyzed by our clients. This role requires an Engineer who not only understands DBA functions but also how they impact research objectives and can work with researchers and data scientists to achieve impactful results.

This role will be in the Analytics Organization and will require integration and partnership with the Engineering Organization. The ideal candidate is a self-starter who is inquisitive who is not afraid to take on and learn from challenges and will constantly seek to improve the facets of the business they manage. The ideal candidate will also need to demonstrate the ability to collaborate and partner with others.

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 queries to meet analytics specific objectives
Collaborate with various business stakeholders, software engineers, machine learning engineers, analysts
Operate between Engineers and Analysts to unify both practices for analytics insight creation

Who You Are:

Adept in market research methodologies and using data to deliver representative insights
Inquisitive, curious, understands how to query complicated data sets, move and combine data between databases
Deep SQL experience is a must
Exceptional communication skills with ability to collaborate and translate with 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, whether the components are prepackaged or homegrown
Proficient with SQL,Python or JVM based language, Bash
Experience with any of Apache open source projects such as Spark, Druid, Beam, Airflow etc.and big data databases like BigQuery, Clickhouse, etc
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