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Senior Data Engineer
Medium
- Atlanta, Georgia, United States
- Atlanta, Georgia, United States
Über
We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role requires both deep technical expertise and strong consulting skills to translate business needs into scalable solutions and communicate effectively with all stakeholders. You will help architect and deliver high‑quality data solutions that drive measurable business value.
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/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases.
Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks.
Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security.
Minimum Requirements
Bachelor’s degree in computer science or related field
6+ years of experience in data engineering, data platform development, or cloud data solutions
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 with Databricks, specifically the ability to design enterprise‑level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI.
DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
Preferred Qualifications
Experience working directly with clients, business stakeholders, or cross‑functional teams in a consulting or professional services environment.
Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents
Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements
Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
Reply is an equal opportunity employer. We are committed to providing equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you need assistance or reasonable accommodation due to a disability during the application or recruiting process, email jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.
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Sprachkenntnisse
- English
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