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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

RemoteremoteDirect Career PageEst. 6–14 LPA

Posted 6h ago

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Remote, mid-level Data Engineer role with broad skillset in a metro market increases applicant density.

Background Fit Sensitivity

(Low)

Core data engineering skills like Python, SQL, and ETL are broadly transferable across industries.

Shortlisting Strictness

(Moderate)

Technical breadth required but no explicit years requirement yields medium shortlisting strictness.

Estimated fit based on your resume

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Structured overview of role & requirements

Design, develop, and maintain large-scale data systems and scalable data pipelines.

Develop and implement ETL processes using tools like Teradata, Informatica, Hadoop, Spark, PySpark, ADF, Snowflake, Kafka.

Collaborate with teams to design data models and transition/upskill into Databricks and AI/ML projects.

Experience in data engineering (exact years not explicitly mentioned).

Strong proficiency in Python, SQL, ETL, and data modeling.

Experience with one or more of: Teradata, Informatica, Hadoop, Spark, PySpark, ADF, Snowflake, Big Data, Scala, Kafka.

Cloud knowledge (AWS, Azure, or GCP) is a plus; willingness to learn Databricks and AI/ML technologies.

Experienced in working with big data platforms and ETL pipelines across cross-functional teams.

Capable of designing and optimizing scalable data systems.

Open and willing to transition skills towards Databricks and AI/ML projects in emerging tech environments.