Data Engineer at DLA Piper Solutions & Data
Overview
Design and build data pipelines that transform raw data into trusted datasets for analytics and reporting. Operationalize pipelines with governance and SLAs while improving data quality and enabling secure access. Consolidate data from multiple sources into a centralized SQL integration point. Implement data platforms using Azure technologies to support analytics workloads. Drive reliability through monitoring and operational best practices. Collaborate cross-functionally to deliver Agile sprint-based solutions. Create reusable assets that support multiple initiatives. Scale data solutions to meet growing business needs.
What You'll Do11
- 1Build and operationalize data pipelines across heterogeneous environments aligning to governance principles and SLAs
- 2Ingest, transform, and publish pipelines to deliver analytics-ready data
- 3Consolidate data from multiple sources into a centralized SQL integration point managing field mappings
- 4Design and implement data warehousing capabilities using Azure Synapse Analytics
- 5Identify and resolve data quality integrity latency and security issues applying monitoring best practices
- 6Contribute to data quality governance including profiling datasets and defining quality rules
- 7Work cross-functionally with engineers analysts and stakeholders in an Agile pod model
- 8Produce reusable data assets and integration components for multi-initiative use
- 9Maintain data platforms using Azure Data Factory Databricks Event Hubs SSIS
- 10Ensure compliance with security standards and operational excellence
- 11Support sprint-based delivery and continuous improvement of data solutions
Requirements11
- 15+ years building ETL pipelines with Spark and Airflow
- 2Proficiency in SQL and Python
- 3Data warehousing experience with Azure Synapse Analytics
- 4Scripting automation skills in PowerShell or similar tools
- 5Familiarity with Java Scala or Go for data integration
- 6Experience with DataOps concepts and cross-functional teamwork
- 7High School or GED minimum education requirement
- 8Bachelor's Degree in Computer Science Engineering or related field preferred
- 9Minimum 3 years of data engineering experience
- 10Effective communication skills for client and internal stakeholder interactions
- 11Ability to work under pressure in a fast-paced environment
Salary Insight
Salary not disclosed in listing
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