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Big Data Engineer
Wingify
Gurugram, IND
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
Data engineeringBatch and streaming data pipelinesSQLPythonApache Airflowdbt
Free
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Data engineeringBatch and streaming data pipelinesSQL
Role Overview
Design, build, and operate large-scale data pipelines and analytical infrastructure.
Transform high-volume raw data into reliable, query-ready datasets for analytics, reporting, and data-driven products.
Own data pipelines end to end across ingestion, transformation, warehousing, orchestration, data quality, and observability.
Own ClickHouse as the primary analytical data store and help scale a modern cloud-native data platform.
Key Skills for This Role
Data engineeringBatch and streaming data pipelinesSQLPythonApache Airflowdbt
Full Job Posting
About the Role
Design, build, and operate large-scale data pipelines and analytical infrastructure.
Transform high-volume raw data into reliable, query-ready datasets for analytics, reporting, and data-driven products.
Own data pipelines end to end across ingestion, transformation, warehousing, orchestration, data quality, and observability.
Own ClickHouse as the primary analytical data store and help scale a modern cloud-native data platform.
What You'll Do
- Build batch and streaming pipelines and operate Apache Airflow DAGs.
- Develop analytics-ready dbt models with testing, documentation, and incremental processing.
- Design and optimize ClickHouse schemas, tables, materialized views, and distributed architectures.
- Work with BigQuery, NoSQL stores, and key-value databases according to workload requirements.
- Build data-quality frameworks and implement monitoring, alerting, logging, and observability.
- Own SLAs, incident response, troubleshooting, root-cause analysis, backfills, reruns, schema evolution, and migrations.
- Use Docker and contribute to CI/CD and Infrastructure as Code practices.
- Collaborate with analysts, data scientists, product managers, and engineers on scalable data solutions.
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