Senior Data Engineer - Lakehouse & Streaming Platforms

Ethereum Technologies

Atlanta (GA)

Presencial

USD 120.000 - 180.000

Tempo integral

há 16 horas
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Resumo da vaga

Ethereum Technologies in Atlanta, GA is seeking a senior data engineer to design, build, and operate production-grade data pipelines across SQL Server, cloud apps, and streaming sources.

You will develop ingestion, transformation, and enrichment workflows using Python/Java/Scala, and implement lakehouse layers with Iceberg and Trino. The role includes performance tuning, data quality, and collaboration with global engineering teams.

Qualificações

  • 6+ years in data engineering, data warehousing, or data platform development.
  • Strong production experience building and supporting end-to-end data pipelines.
  • Expert SQL, including complex queries, query-plan analysis, and performance tuning.
  • Strong development skills in Python, Java, or Scala.
  • Hands-on experience with Iceberg, Delta Lake, or Hudi.
  • Experience with Trino, Presto, or Spark SQL.
  • Hands-on Snowflake experience, including data modeling, performance optimization, external/Iceberg tables, secure data sharing, or access management.
  • Experience with streaming and CDC technologies such as Flink, Kafka, Spark Structured Streaming, or Debezium.
  • Strong understanding of dimensional modeling, data quality, schema evolution, and data contracts.
  • Experience with Kubernetes, containers, CI/CD, and infrastructure-as-code.
  • Experience implementing monitoring, alerting, lineage, reconciliation, and operational support for production data platforms.
  • Ability to independently troubleshoot complex production issues and drive them to resolution.

Responsabilidades

  • Build and operate production-grade data pipelines across SQL Server, cloud apps, and streams.
  • Develop ingestion, transformation, and enrichment pipelines using Flink, Kafka, SQL, Python/Java/Scala.
  • Implement lakehouse layers with Iceberg and Trino.
  • Create dimensional and analytical models for buildings, tenants, credentials, devices, and people.
  • Ensure CDC, late-arriving data, retries, backfills, schema evolution, and data reconciliation.
  • Integrate lakehouse with Snowflake, including Iceberg-backed/external tables and secure sharing.
  • Develop data-quality checks, monitoring, lineage, and dashboards.
  • Troubleshoot production data issues, pipeline failures, and performance bottlenecks.
  • Optimize queries, storage layouts, partitioning, clustering, compute, and cost.
  • Implement RBAC, row/column security, masking, and data protection.

Conhecimentos

Hands-on experience
Advanced SQL
Python/Java/Scala
Iceberg/Delta/Hudi
Trino/Presto/Spark SQL
Snowflake
Flink/Kafka/CDC
Kubernetes/CI/CD/IaC
Data modeling
Monitoring/Lineage

Ferramentas

Apache Iceberg
Delta Lake
Apache Hudi
Trino/Presto
Spark SQL

Descrição da vaga

Ethereum Technologies in Atlanta, GA is seeking a senior data engineer to design, build, and operate production-grade data pipelines across SQL Server, cloud apps, and streaming sources.

You will develop ingestion, transformation, and enrichment workflows using Python/Java/Scala, and implement lakehouse layers with Iceberg and Trino. The role includes performance tuning, data quality, and collaboration with global engineering teams.

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