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Protocol Intelligence
Data-driven signals on your job's competitivenessHigh because a popular data-engineer role in Bangalore requires broad skills and attracts startup applicants.
Low — core data engineering skills transfer easily across industries despite optional fraud/risk domain experience.
Medium because explicit 1–3 years plus mandatory Spark, SQL, backend and cloud skills.
Job Description
Structured overview of role & requirementsAbout This Role
Build and maintain batch and streaming data pipelines ingesting data from multiple sources including device SDKs, internal services, and third-party providers.
Develop and own backend services and RESTful APIs that serve data for internal use and real-time decisioning.
Ensure pipeline reliability with monitoring, alerting, and data quality checks; debug production issues including Kafka consumer lag, schema changes, and query performance problems.
Minimum Requirements
1–3 years of professional software engineering experience with data-intensive systems.
Strong programming skills in Python, Java, or Scala with ability to write production-quality, tested code.
Strong SQL skills including joins, window functions, and query performance understanding.
Hands-on experience or willingness to quickly learn distributed data processing frameworks (Spark preferred); experience building backend services and REST APIs; familiarity with AWS and core services like S3, EC2.
Ideal Candidate Profile
Experienced with distributed data processing and backend service development in a cloud environment (preferably AWS).
Able to debug complex data pipeline and production system issues across multiple layers including streaming, storage, and compute.
Comfortable working on systems involving fraud, risk, identity, or real-time decisioning, with a focus on data correctness and pipeline reliability.