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Big Data Engineer
Wingify Software Pvt. Ltd.
Remote, IND
Full-time
Senior · 4+ years experience
Remote
Discovered 3 weeks ago
SQLPythonApache AirflowdbtClickHouseBigQuery
Free
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SQLPythonApache Airflow
Key Skills for This Role
SQLPythonApache AirflowdbtClickHouseBigQuery
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What You'll Do
Design, build, and maintain robust batch and streaming data pipelines that ingest data from multiple sources into analytical data stores.
Build and operate Apache Airflow DAGs , including scheduling, dependencies, retries, backfills, idempotency, concurrency, and failure handling.
Develop analytics-ready datasets using dbt , following well-structured staging, intermediate, and mart layers with appropriate tests, documentation, and incremental models.
Own ClickHouse as the primary analytical store, including: Schema and table design using the MergeTree family of engines Partitioning and sorting/primary key strategies Materialized views Distributed and replicated table architectures Query and memory optimization High-volume data ingestion and performance tuning
Schema and table design using the MergeTree family of engines
Partitioning and sorting/primary key strategies
Materialized views
Distributed and replicated table architectures
Query and memory optimization
High-volume data ingestion and performance tuning
Work with BigQuery where cloud data-warehouse patterns are appropriate, including data modeling and query/cost optimization.
Design and operate NoSQL and key-value data stores , including Bigtable, DynamoDB, and Redis, based on specific access patterns and performance requirements.
Build and maintain data-quality frameworks covering validation, testing, freshness, completeness, reconciliation, and anomaly detection.
Implement monitoring, alerting, structured logging, and observability for data pipelines and services.
Own pipeline SLAs, incident response, troubleshooting, and root-cause analysis.
Manage backfills, safe re-runs, schema evolution, and data migrations while minimizing downstream impact.
Build reproducible, containerized environments using Docker and contribute to CI/CD and Infrastructure as Code practices.
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