Data Engineer
Full-time
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Responsibilities
- Work directly with clients to understand business goals, data challenges, and technical requirements.
- Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews.
- Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.
- Implement medallion and lakehouse architectures, dimensional models, and data transformation workflows for analytics and reporting.
- Engineer solutions using PySpark, Spark SQL, SQL, Python, Delta Lake, Azure, and Databricks.
- Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security.
Requirements
- Bachelor’s degree in computer science or a related field.
- At least 6 years of experience in data engineering, data platform development, or cloud data solutions.
- At least 3 years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies.
- Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL.
- Expertise designing enterprise-level Databricks strategy and architecture, including Unity Catalog, data warehousing, data sharing, and Mosaic AI.
- Experience with DevOps for data, GitHub, automated testing, and containers such as AKS and Docker.
- Excellent communication skills and the ability to explain concepts clearly to teammates and customers and learn new technologies quickly.
- Preferred experience working directly with clients, business stakeholders, or cross-functional teams in consulting or professional services.
- Preferred experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents.
- Preferred experience with data governance, data security, master data management, and industry-specific security requirements.
- Preferred broad experience with data and reporting tools, architectures, cloud vendors, and data and AI concepts beyond Microsoft.
Vacancy posted 28 days ago
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