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.
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.
