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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

4–7 yearsofficeDirect Career PageEst. 15–28 LPA

Posted 23h ago

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Mid-level, generalist data role in Bangalore/Pune with broad cloud and PySpark requirements.

Background Fit Sensitivity

(Low)

Data engineering skills (PySpark, SQL, cloud) are generally transferable across industries.

Shortlisting Strictness

(High)

Explicit 4–7 years requirement plus mandatory PySpark, cloud, ETL and Airflow skills.

Estimated fit based on your resume

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Structured overview of role & requirements

Lead design and development of scalable ETL/ELT data pipelines using PySpark, Python, and SQL in a cloud-native environment.

Architect and optimize cloud-based data warehouse solutions on AWS, Azure, or GCP.

Mentor junior engineers, drive data quality, governance, security, and performance tuning of data workflows.

4–7 years of experience in data engineering focused on cloud-based data solutions.

Proficiency in Python, PySpark, and SQL for data processing.

Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their data services.

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

Experienced in architecting and optimizing cloud data architectures and ETL pipelines with strong data warehousing knowledge.

Capable of leading cross-functional collaborations and mentoring engineering teams.

Comfortable working with internal tools, Agile methodologies, CI/CD processes, and orchestration tools like Apache Airflow.