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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

1–2 yearsRemoteremoteDirect Career PageEst. 3–7 LPA

Posted 20h 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

(Moderate)

Remote hiring and common junior data engineer title increase applicant density.

Background Fit Sensitivity

(Low)

Core data engineering skills (SQL, Python, ETL) transfer easily across industries despite fintech context.

Shortlisting Strictness

(Moderate)

Explicit 0–2 years plus SQL, Python, and cloud basics create moderate mandatory filters.

Structured overview of role & requirements

Build and maintain data pipelines and cloud-based data warehouse support under guidance from senior engineers.

Write, test, and optimize SQL queries for data extraction, transformation, and validation.

Collaborate with analytics and business teams to support data needs and maintain data quality.

Bachelor's degree in Computer Science, Computer Engineering, IT, or related field.

Basic to intermediate SQL skills including SELECT, JOIN, and aggregation queries.

Familiarity with Python programming; exposure to PySpark and ETL/data pipeline tools is a plus but not mandatory.

Work Experience Required: 0 to 2 years in data engineering or similar roles as specified.

Early-career data engineer with up to 2 years practical exposure and strong learning orientation.

Experience or familiarity with cloud data warehouse platforms such as Snowflake, Databricks, Redshift, or BigQuery.

Comfortable working in agile teams, with some exposure or willingness to learn modern data engineering tools and workflows.