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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

5–8 yearsBENGALURUofficeDirect Career PageEst. 14–26 LPA

Posted 10h ago

Against your primary resume

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Role Fit

Experience

Industry Relevance

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Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Tier-1 brand, metro location, mid-level generalist data role with broad required skills.

Background Fit Sensitivity

(Low)

Core cloud and big-data engineering skills are highly transferable across industries.

Shortlisting Strictness

(High)

Explicit 5–8 years and many mandatory cloud and big-data technology requirements.

Structured overview of role & requirements

Design and develop data infrastructure and pipelines for efficient data processing and analytics.

Leverage big data technologies and cloud platforms (AWS) to implement data integration and transformation solutions.

Enable clients to convert raw data into actionable business insights driving growth and innovation.

5-8 years of relevant experience in data engineering or analytics roles.

Bachelor's degree in Technology or related fields (B.Tech, M.Tech, M.E, MCA, B.E).

Strong expertise in big data technologies including Spark, Kafka, Airflow, DBT, Flink, Apache Iceberg.

Proficiency in AWS cloud services (S3, Glue, EMR, Aurora, Lambda, Kinesis), SQL, and programming in Python and/or Scala.

Experienced in implementing CI/CD frameworks with popular repositories such as GitHub.

Familiar with advanced data stack components like Datadog monitoring and Snowflake data warehousing (preferred).

Comfortable working in advisory contexts translating data engineering solutions into business impact.