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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

7–10 yearsRemoteremoteDirect Career PageEst. 18–28 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

(Moderate)

Remote, generalist data engineer role with common tech stack increases applicant competition.

Background Fit Sensitivity

(Low)

Data engineering skills and cloud tooling are broadly transferable across industries.

Shortlisting Strictness

(High)

Explicit 7–10 years requirement plus mandatory Snowflake, IICS, and PySpark skills makes shortlisting strict.

Structured overview of role & requirements

Design, develop, and maintain ETL/ELT data pipelines using Informatica Intelligent Cloud Services (IICS) and PySpark.

Optimize data solutions on Snowflake, including SQL development, stored procedures, and performance tuning.

Develop and manage CI/CD pipelines for automated deployment of data integration workflows ensuring data quality and reliability.

7–10 years of work experience in data engineering or related roles.

Proficiency with IICS, Snowflake, PySpark, strong SQL and data modeling skills mandatory.

Hands-on experience with CI/CD tools, Git, and cloud platforms such as AWS, Azure, or GCP.

Work Experience Required: 7–10 years

Demonstrated expertise in cloud data integration using Snowflake and IICS with scalable data pipeline development.

Experience implementing DevOps practices including CI/CD and version control in data environments.

Experienced working in Agile settings collaborating across cross-functional technical and business teams.