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 current data.
Implement DataOps practices
Design, Develop, and operate Data Pipelines which support Data scientists and machine learning Engineers.
Build straightforward, 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.
Positive 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.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Software Engineer Data Pune
🏢 DeepIntent
📍 Pune