Experience: 4+ Years building data systems

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

Location: Bangalore

About the Role

Design and build the data infrastructure, frameworks, and tooling that power the CDP platform. You build the systems that DataOps runs — connector frameworks, schema mapping engines, transformation pipelines, data quality tooling. You think in terms of “how do I solve this for all clients” not one client.

What You Will Do
Design and build pluggable connector framework for client data sources (databases, APIs, file feeds, event streams)
Build automated schema mapping and detection tools to accelerate client onboarding
Architect the transformation layer — cleaning, deduplication, normalization, enrichment as composable modules
Build data quality framework — profiling, validation gates, anomaly detection, lineage tracking
Design productive data models for Snowflake and BigQuery — partitioning, clustering, materialization,



cost-aware query patterns
Build schema evolution handling — graceful adaptation when client source schemas change
Design metadata layer — schema definitions, mapping rules, transformation logic per client
Optimize stored procedures and transformation jobs for analytical workloads

Must-Have
4+ years building data systems (not just running them)
Robust SQL — complex queries, window functions, performance and cost optimization
Experience building data pipelines with Python, Spark, or similar
Snowflake or BigQuery at architecture level — data modeling, performance tuning, cost optimization
Kafka or similar for real-time ingestion
Experience building reusable frameworks/tooling, not one-off scripts
Data modeling — star schema, SCD, event sourcing, EAV patterns
Workflow orchestration — Airflow, dbt, or similar

📌 Data Engineer Bangalore Bengaluru
🏢 FirstHive Tech
📍 Bengaluru