Lead Data Engineer with Azure

Description

We seek a professional to join the team responsible for Data Engineering, including designing, developing, and creating data products to help commercial data and analytics products. You will drive the entire software development lifecycle process to support continuous data delivery while leading the evaluation and adoption of emerging technologies.

This role combines technical and people management skills for the data platform that requires knowledge of big data processing and management and cloud-based data warehouse solutions.
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What You'll Do

• Provide partnership and support to SMEs and Tech Leads to ensure delivery of commitments
• 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
• Design and implement data engineering, ingestion, and curation functions on Azure cloud using Azure native or custom programming
• Create data transformation and loading workflows
• 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

• Relevant experience in Data Platforms and Azure's PaaS offerings (Synapse, Purview, ADF, Databricks, Azure Data Lake Storage, etc.)
• 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: SQL, Java, Python or Scala
• Strong notions of security best practices (e.g., using Azure Key Vault, IAM, RBAC, Monitor, etc.)
• Ability to integrate, transform and consolidate data from various structured and unstructured data systems into a structure suitable for building analytics solutions
• High-level understanding of Azure DevOps

• 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 in USD, regular assessments, and salary reviews
• Bonuses for participating in the referral program
• Flexible schedule and opportunity to work remotely from any place in Kazakhstan
• Friendly team and enjoyable working environment
• Relocation opportunities within our offices in 50+ countries with throughout support for you and your family
• 28 vacation days and six trust days per year (sick leave without a medical certificate)
• Medical & family care programs, corporate and social events

• EPAM Kazakhstan is a team of technologists and innovators united by a passion for technology. Today we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. EPAM builds a continuously learning organization and helps its employees reach their full potential and achieve their professional goals through learning. Our agile methodologies, customer collaboration frameworks, engineering excellence programs, and hybrid teams offer many career paths and development opportunities