Senior Data Engineer

Beautifulll Consulting Co.
Wadsworth, OH, United States
24 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Automation of Tests Continuous Integration Information Engineering Data Integration Extract Transform Load (ETL) Data Systems Data Virtualization Data Warehousing Database Design Database Queries R (Programming Language) Python (Programming Language)
+15 more
Operational Databases Oracle (Applications) Cloud Services SQL Databases Systems Integration Tableau (Software) Unstructured Data Informatica Powercenter Apache Spark Pyspark Tools for Reporting Spotfire Software Version Control Data Pipelines Databricks

Job description

  • Developing and maintaining scalable data pipelines and reusable datasets within a Databricks lakehouse environment
  • Ingesting, validating, cleaning and transforming structured and unstructured data from multiple sources using Python, PySpark and SQL
  • Building data models and reporting datasets that support Tableau and established analytics tools such as Spotfire
  • Integrating established data warehouse and reporting systems with modern cloud analytics platforms
  • Improving pipeline reliability, data quality and processing performance
  • Implementing automated testing, monitoring, documentation and CI/CD practices
  • Partnering with analysts, architects, developers and business stakeholders to deliver practical data solutions
  • Providing technical guidance, reviewing code and mentoring other data engineer

Requirements

  • 7+ years of experience in data engineering, including building and supporting production data pipelines
  • Strong SQL skills and a solid understanding of data modeling, database design and data warehousing
  • Hands-on experience with Databricks, Apache Spark and cloud data platforms
  • Strong proficiency in Python and PySpark
  • Experience developing ETL/ELT pipelines and integrating data from multiple source systems
  • Experience preparing reliable datasets for Tableau or comparable business intelligence tools
  • Familiarity with source control, automated testing and CI/CD practices
  • Ability to troubleshoot complex data issues and optimize pipeline performance
  • Strong communication skills and experience collaborating with technical teams and business stakeholders
  • Experience with Spotfire, Oracle, Informatica, R or data virtualization preferred
  • Databricks certification preferred

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