DeepIntent
healthcare advertising
SoftwareEngineer-Data
Neural analysis suggests this role is
optimal for Entry candidates.
“Software Engineer - Data at DeepIntent. Skills: data pipelines, data architectures, SQL, Java, Python, GCP/AWS. Establish formal data practice for the organisation. Build & operate scalable and robust data architectures”
Industry & Context.
thinks big; dives deep
What They're Looking For.
Must Have
1+ years of experience in building and running data pipelines for tons of data, 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, 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, Java, Spring boot, 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., Good communication skills with the ability to collaborate with both technical and non-technical people
Nice to Have
Bachelor’s degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University
What You'll Do.
Establish formal data practice for the organisation
Build & operate scalable and robust data architectures
Create pipelines for the self-service introduction and usage of new data
Implement DataOps practices
and operate Data Pipelines which support Data scientists and machine learning Engineers
highly reliable Data storage
and transformation solutions which are easy to deploy and manage
How You'll Work.
Team & Collaboration
Collaborate with various business stakeholders, software engineers, machine learning engineers, and analysts; ability to collaborate with both technical and non-technical people
Communication Scope
Good communication skills
Full Job Description
DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, www.DeepIntent.com. What You’ll Do: Establish formal data practice for the organisation. Build & operate scalable and robust data architectures. Create pipelines for the self-service introduction and usage of new data. Implement DataOps practices Design, Develop, and operate Data Pipelines which support Data scientists and machine learning Engineers. Build simple, highly reliable Data storage, ingestion, and transformation solutions which are easy to deploy and manage. Collaborate with various business stakeholders, software engineers, machine learning engineers, and analysts. Who You Are: Bachelor’s degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University. 1+ years of experience in building and running data pipelines for tons of data. 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, 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, Java, Spring boot, 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. Good communication skills with the ability to collaborate with both technical and non-technical people. Someone who thinks big, takes chances, innovates, dives deep, gets things done, hires and develops the best, and is always learning and curious. We believe great work starts with great support. That’s why Dee
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