Senior Software Engineer

Early Applicant

Exp: 0-2 Years

Job Description

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:

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.
Ability to Think Big, take bets and innovate, Dive Deep, Bias for Action, Hire and Develop the Best, Learn and be Curious