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Protocol Intelligence
Data-driven signals on your job's competitivenessCommon data-engineer lead role in Bangalore with broad stack at a known startup yields medium competition.
Core data-engineering skills transfer across industries, but cloud platform and product-domain experience increase sensitivity to medium.
Explicit 8+ years, required cloud data platforms, orchestration tools, and leadership make shortlisting highly strict.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and development of scalable ETL/ELT pipelines and cloud-native data platforms.
Provide technical leadership and mentorship for data engineering teams including code reviews and best practices.
Collaborate cross-functionally to deliver data solutions enabling analytics, automation, and product innovation.
Minimum Requirements
8+ years experience in data engineering, platform development, or distributed systems.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
Advanced proficiency in SQL, Python, and data orchestration tools like Airflow or dbt.
Strong experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift) and DevOps practices.
Ideal Candidate Profile
Experienced technical leader comfortable managing complex engineering projects and mentoring teams.
Skilled in building scalable, reliable cloud-native data architectures aligned with business priorities.
Pragmatic problem solver with proven ability to improve data tooling, automation, and operational resilience.