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DATAECONOMY

Senior Data Engineer - Databricks

Raleigh, USPresencialPermanenteTempo integral

Publicado 10 de set. de 2026

Esta vaga foi publicada em EN

DATAECONOMY is one of the fastest-growing Data & Analytics company with global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings.

We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend.
Senior/Lead Data Engineer — Databricks

Raleigh NC

Full-time
  • Build scalable, production-grade ETL/ELT pipelines using Databricks (PySpark, Spark SQL, Delta Live Tables, Workflows).
  • Ingest structured, semi-structured, and streaming data into Bronze, Silver, and Gold layers.
  • Develop optimized transformations, data quality rules, and reusable framework components.
  • Implement best practices for job orchestration, monitoring, alerting, and automation.
  • Hands-on experience: Spark, Delta Lake, Workflows, Unity Catalog.
  • Strong SQL programming and performance tuning skills.
  • Experience with cloud environments (AWS/Azure/GCP).
  • Experience with modern data lakehouse concepts and distributed systems.
  • Strong understanding of Lakeflow Connect, LSDP/Lakehouse, Medallion Architecture, Data Validations, Genie, and Agent Bricks/RAG use cases.
  • Should be able to explain these concepts using real project examples and architecture decisions.


Requirements

  •  Strong Python (PySpark) and SQL programming
  •  Databricks — Spark, Delta Lake, Workflows, Unity Catalog
  •  ETL/ELT pipeline development — Medallion Architecture (Bronze/Silver/Gold)
  •  Delta Live Tables, Auto-Loader, Structured Streaming
  •  Data modeling — dimensional (star/snowflake), normalization/denormalization
  •  CI/CD, Git, job orchestration
  •  Cloud experience — AWS, Azure, or GCP
  •  7–10+ years in data engineering

Nice-to-Have Skills

  •  Lakeflow Connect, LSDP/Lakehouse, Genie, Agent Bricks/RAG use cases
  •  Data governance, metadata management, Unity Catalog advanced features
  •  Airflow, dbt, or similar orchestration tools
  •  Data security, compliance, and access models
  •  Cost optimization and performance tuning in cloud environments
  •  Corporate/enterprise data warehousing background


Resumo da função

Tipo de vaga

Tempo integral

Competências necessárias

PySpark (Python) programmingSQL programming and performance tuningDatabricks platform (Spark, Delta Lake, Workflows, Unity Catalog)Delta Live Tables, Auto-Loader, Structured StreamingETL/ELT pipeline development (Medallion Architecture - Bronze/Silver/Gold)Ingesting structured, semi-structured, and streaming dataData modeling (dimensional/star & snowflake, normalization/denormalization)Job orchestration, monitoring, alerting, and automationCI/CD and GitCloud platforms (AWS, Azure, or GCP)Data quality rules and data validation frameworksData governance and metadata management (including Unity Catalog features)Experience with orchestration tools (Airflow, dbt, or similar)Cost optimization and performance tuning in cloud environmentsLakehouse-related tools and use cases (Lakeflow Connect, LSDP/Lakehouse, Genie, Agent Bricks/RAG)

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