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Mid-level Bengaluru cloud data role with common title but some Snowflake/dbt specialization increases competition moderately.
Core cloud data engineering skills are transferable across industries but require specific Snowflake/Spark/dbt experience.
Explicit 5–8 years plus mandatory Snowflake, Spark, dbt, AWS and cloud tooling make filters stringent.
Design, implement, maintain, and troubleshoot cloud data platforms and applications utilizing Snowflake, Spark, dbt, SQL, and AWS.
Collaborate with cross-functional teams to deliver scalable, reliable, and efficient cloud-based data solutions that meet business requirements.
Monitor and optimize cloud environments for performance, availability, resource utilization, and operational stability.
5–8 years of experience in cloud computing, virtualization, and cloud data engineering.
Proficiency in AWS cloud platform and experience with Snowflake, Spark, dbt, SQL, and cloud infrastructure automation tools (Terraform, Chef, Puppet).
Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent professional experience).
Experience with database management systems such as MySQL, PostgreSQL, Oracle, and virtualization technologies including VMware and Hyper-V.
Experienced in designing and supporting multi-cloud data platforms with a focus on performance, maintainability, and resource efficiency.
Skilled in automation, configuration management, and operational support within fast-paced, high-pressure technical environments.
Capable of providing technical guidance and client-facing support while collaborating effectively with cross-functional teams.