• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 28th Mar 2023

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, operate Data Pipelines which support Data scientists and machine learning
Engineers.
Build simple, highly reliable Data storage, ingestion, transformation solutions which are easy
to deploy and manage.
Collaborate with various business stakeholders, software engineers, machine learning
engineers, 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, 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
Good communication skills with 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