Jobs · cutshort
Data Engineer
Keystone AI · Bengaluru (Bangalore) · Indexed today
About the role
Design and maintain scalable data pipelines and workflows on Azure.
Data Engineer Experience: 4–6 years Key Responsibilities Design, build, and maintain scalable data pipelines and workflows. Manage and optimize cloud-native data platforms on Azure with Databricks and Apache Spark (1–2 years). Implement CI/CD workflows and monitor data pipelines for performance, reliability, and accuracy. Work with relational databases (Sybase, DB2, Snowflake, PostgreSQL, SQL Server) and ensure efficient SQL query performance. Apply data warehousing concepts including dimensiona
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Responsibilities
- ▸Design, build, and maintain data pipelines
- ▸Manage and optimize cloud data platforms
- ▸Implement CI/CD workflows
- ▸Monitor data pipelines
- ▸Work with relational databases
Must-have skills
- ▸data engineering
- ▸data pipelines
- ▸azure
- ▸databricks
- ▸apache spark
- ▸ci/cd
- ▸sql server
- ▸sql
- ▸data warehousing
Nice-to-have skills
- ▸sybase
- ▸db2
- ▸snowflake
- ▸postgresql
FAQ
Is the Data Engineer role at Keystone AI remote?+
This Data Engineer position is listed as onsite (Bengaluru (Bangalore)).
What seniority level is this Data Engineer role?+
This is a mid level position.
What skills does the Data Engineer role require?+
Key requirements include data engineering, data pipelines, azure, databricks, apache spark, ci/cd, sql server, sql.
How do I apply for the Data Engineer role at Keystone AI?+
Use the "Apply on cutshort" button to open the original posting on cutshort, where you can submit your application directly to Keystone AI.