Back

Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

4–5 yearsUNKNOWNofficeDirect Career PageEst. 10–18 LPA

Posted 1d ago

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Remote, mid-level, generalist Data Engineer with common cloud/Spark skillset creates high candidate competition.

Background Fit Sensitivity

(Low)

Data engineering skills like Python, Spark, and cloud are broadly transferable across industries.

Shortlisting Strictness

(High)

Explicit 4–5 years requirement plus mandatory Python, PySpark, Spark and AWS/Azure make shortlisting high.

Estimated fit based on your resume

Create a free account or log in to unlock your CV match score across:

Role Fit

Experience

Industry Relevance

get started

Structured overview of role & requirements

Manage and transform large, complex, multi-dimensional datasets including structured, unstructured, and real-time data.

Develop complex data transformation ETL pipelines using Python, PySpark, and Apache Spark.

Lead data engineering projects independently, utilizing AWS and Azure cloud services and demonstrating technical leadership.

4+ years of experience in data engineering.

Proficiency with Python, PySpark, Apache Spark, and cloud services from AWS and Azure.

Strong understanding of On-Premise and Cloud Data Warehouse databases.

Bachelor's Degree in Computer Science or equivalent practical experience.

Experienced in handling and transforming large, diverse datasets in cloud environments.

Capable of independently leading data engineering projects with technical leadership skills.

Comfortable working remotely in a senior technical role with expertise across multiple cloud platforms (AWS and Azure).