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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

3–5 yearsofficeDirect Career PageEst. 8–18 LPA

Posted 1d 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)

Mid-level data-engineer in Hyderabad with common ETL/Python/SQL skills makes candidate pool highly competitive.

Background Fit Sensitivity

(Low)

ETL, SQL, Python and cloud data skills are highly transferable across industries.

Shortlisting Strictness

(Moderate)

Explicit 3-5 years requirement plus mandatory data engineering, SQL and Python increases filter strictness.

Structured overview of role & requirements

Build, maintain, and troubleshoot data pipelines and workflows to support data engineering needs.

Support data integration, transformation, and ensure data quality for scalable solutions.

Assist in creating AI-ready datasets and enable analytics use cases as part of AI initiatives.

3-5 years of professional experience in data engineering or related fields.

Proficiency in ETL/ELT pipeline development, SQL, Python, and cloud-based data platforms.

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Experience with data integration, transformation, and data quality validation is mandatory.

Experienced in building scalable data solutions and collaborating with engineering and delivery teams.

Familiarity with big data and cloud technologies like Apache Spark, Airflow, Databricks, AWS or Azure.

Capable of supporting AI and machine learning data preparation efforts within a data engineering context.