Explore Exciting Fresher & Experienced Roles at DeepIntent

• 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.

Required Skills:

• 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.