Job Description
Job Summary (List Format):
- Position: Data Engineer (Contract, 4-6 months, 100% Remote)
- Company: Grant Thornton Leading Audit, Tax, and Advisory Services firm
- Location: Remote (Collaboration with US and Ireland teams; schedule flexibility required)
- Primary Focus: Hands-on data engineering, pipeline development, and data management (not oversight/support)
- Key Responsibilities:
- Design, build, and maintain data pipelines for extraction, transformation, and loading (ETL/ELT)
- Collaborate with cross-functional teams (architects, data scientists, AI engineers, analysts) to manage and optimize data assets
- Integrate data from various sources (databases, data warehouses, APIs, external systems)
- Ensure data quality, consistency, integrity, and perform data validation/cleaning
- Transform raw data using cleansing, aggregation, filtering, and enrichment techniques
- Optimize data workflows for performance, scalability, and efficiency; resolve bottlenecks
- Implement and monitor data quality checks and validations within pipelines
- Take accountability for maximizing the value of enterprise data and analytics for business insights and decision-making
- Required Skills & Technologies:
- Extensive hands-on experience with Informatica IDMC, Snowflake, and Microsoft technologies (SQL Server, Synapse, Azure Data Factory, Azure Databricks)
- Strong programming skills (C#, Python, SQL, Java)
- 8+ years in data engineering, including data modeling, integration, warehousing, MDM, governance, and analytics
- Clear, concise communication skills with the ability to translate technical info for various audiences
- Critical and creative thinking, problem-solving, and trend analysis in complex data sets
- Proactive, solution-oriented approach with a focus on continuous improvement and innovation
- Ability to work effectively across diverse teams, adapt to changing situations, and prioritize work streams
- Respect for individual differences, strong interpersonal skills, and a positive, resilient attitude
- Preferred/Nice to Haves:
- Certifications in relevant data and cloud technologies
- Prior experience in professional services, consulting, accounting, or managed services provider environments
- Client service or consultative experience
- Interview Process:
- 30-minute technical interview with Manager
- 30-minute interview with Director
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Job Tags
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