Data Engineer

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Skills you'll use

What you'll do

• Design and build scalable batch and streaming data pipelines.
• Develop and optimize ETL/ELT workflows using distributed data processing frameworks.
• Own and optimize ClickHouse clusters for large-scale analytical workloads.
• Design efficient data models for reporting and dashboarding use cases.
• Build and maintain data ingestion pipelines from MongoDB, PostgreSQL, Kafka, APIs, and other data sources.
• Improve performance of large SQL workloads and analytical queries.
• Build reliable monitoring, health checks, and data anomaly detection systems.
• Work closely with Product, Analytics, and Backend teams to deliver reliable reporting and insights.

Who can apply

• 3+ years of experience in Data Engineering.
• Strong SQL skills with expertise in query optimization.
• Experience with ClickHouse or other OLAP databases (BigQuery, Redshift, Snowflake, Druid, Pinot, etc.).
• Strong knowledge of PostgreSQL.
• Experience building ETL/ELT pipelines.
• Proficiency in Java or Python.
• Experience with Apache Kafka and event-driven architectures.
• Strong understanding of data modeling and partitioning strategies.
• Experience working on cloud platforms (AWS/GCP/Azure).
• Experience with Docker and Kubernetes.

About ShyftLabs

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