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Role Roadmap

Streaming Specialist

Real-time pipelines — Kafka internals, exactly-once semantics, and structured streaming.

5 technologies in this stack — ordered Core → Edge → Hybrid bonus. Click any tile to start practicing.

Core

Core — lands the role. Baseline skills hiring managers screen for. Master these and you can land the role at market CTC.

Edge

Edge — lifts your CTC band. Rarer skills that strengthen negotiation — they can push the offer toward the top of the band (e.g. ₹30–40L+ for senior data roles).

Hybrid bonus

Hybrid bonus — broadens your profile. Cross-domain extras (e.g. Power BI for a Data Engineer) that open hybrid roles and raise your profile weightage with recruiters.

  1. Core
    1

    Apache Kafka

    Event streaming, producer/consumer patterns, partitioning, exactly-once semantics.

    Open practice tracks →
  2. Core
    2

    Apache PySpark

    Distributed data processing with Python and Apache Spark — the most asked skill in data engineering interviews.

    Open practice tracks →
  3. Edge
    3

    Spark SQL & Delta Lake

    ACID transactions, time travel, schema evolution, and Delta Table internals.

    Open practice tracks →
  4. Edge
    4

    Apache Airflow

    DAG design, operators, sensors, TaskFlow API, scheduling, and production debugging.

    Open practice tracks →
  5. Hybrid bonus
    5

    System Design

    Distributed systems, scalability patterns, CAP theorem, and high-level architecture.

    Open practice tracks →