Key Data Engineer (Python / Scala / Azure) Armenia or Remote

What You’ll Do

• Build and maintain secure and compliant production data processing pipelines by using different tools and techniques (cloud services, Python/Scala)
• Ensure that data pipelines and stores are high-performing, efficient, organized, and reliable, given business requirements and constraints
• Design, implement, monitor and optimize data platforms to meet the data pipeline needs
• Responsible for data-related implementation tasks: provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks and accessing external data sources
• Design and operationalize large-scale enterprise data solutions and applications using one or more Azure data and analytics services
• Implement data solutions that use the following Azure services: Azure Cosmos DB, Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, Azure Databricks, Azure Blob storage, Microsoft Purview, etc
• Integrate, transform and consolidate data from various structured and unstructured data systems into a structure suitable for building analytics solutions
• Design and implement data engineering, ingestion and curation functions on Azure cloud using Azure native or custom programming
• Create data transformation and loading workflows

What You Have

• Experience in Data Platforms and Azure’s PaaS offerings (Synapse, Purview, ADF, Databricks, Azure Data Lake Storage)
• Competency in Azure: Synapse Analytics, Data Factory, Data Lake, Databricks, Microsoft Purview, Monitor, SQL Database, SQL Managed Instance, Stream Analytics, Cosmos DB, Storage Services, ADLS, Azure Functions, Log Analytics, Serverless Architecture, ARM Templates
• Proficiency in data processing languages such as SQL, Java, Python or Scala
• Strong notions of security best practices (e.g., using Azure Key Vault, IAM, RBAC, Monitor, etc.)
• Understanding the data through exploration and experience with data retention, validation, visualization, preparation, matching, fragmentation, segmentation and enhancement processes
• Familiarity with Azure Networking concepts
• Certifications Preferred: “DP-203: Data Engineering on Microsoft Azure” and “DP-900: Microsoft Azure Data Fundamentals”

We Offer

• Outstanding career development opportunities with a transparent roadmap to accelerate your journey
• Knowledge sharing within the community of the industry’s top professionals worldwide
• Various opportunities for self-development: hard & soft skills internal training courses, mentoring programs, and unlimited access to 8,000+ LinkedIn Learning courses
• Free English classes with certified teachers
• Competitive compensation, regular assessments, and salary reviews
• Participation in the Employee Stock Purchase Plan
• Flexible working schedule
• Friendly team and enjoyable working environment
• Relocation opportunities within our offices in 50+ countries with throughout support for you and your family
• Bonuses for participating in the referral program
• Medical & family care programs, corporate and social events

About EPAM

• EPAM Armenia is a team of 900+ talented innovators united by a passion for technology. In 2014, we opened our first office in Yerevan, and now we have a second engineering hub in Gyumri. We've built a continuously learning organization that helps its employees rapidly advance their careers. Here you will work with the world's industry leaders, support impactful projects using the latest technologies, collaborate with multi-national teams, and have access to a wide variety of development opportunities