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Data Engineer

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Data Engineer in USA

  • Chicago, IL

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.

Reply

Reply [EXM, STAR: REY] specialises in the design and implementation of solutions based on new communication channels and digital media. As a network of highly specialised companies, Reply defines and develops business models enabled by the new models of AI, big data, cloud computing, digital medi...

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