Consultant- Data Analytics

• Pipeline Development: Build and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Databricks (PySpark/SQL)
• Data Engineering: Implement data models (Data Vault, star and snowflake), design Delta Lake tables, apply partitioning strategies, and ensure data quality through validations and reconciliation
• SQL Development and Optimisation: Write efficient SQL queries, optimise performance through query tuning and index management, and maintain stored procedures
• Orchestration & Monitoring: Configure triggers, implement error handling and retries, set up logging and alerting mechanisms, and support production jobs by resolving issues to ensure robust data pipeline operations
• Access management: Manage access controls and permissions across Azure data services, including Databricks, Data Lake, and Data Factory
• Best Practices: Follow secure development practices (Key Vault, managed identities), RBAC, tagging, and cost optimization
• Collaboration: Work with BI developers, Business analysts and product teams to translate requirements into technical solutions
• Documentation & Communication: Create and maintain detailed runbooks, architecture diagrams, and documentation
• present updates and findings to stakeholders

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or related field
• 3–5 years of hands‑on experience in Data Analytics and Data Engineering
• Strong SQL: complex joins, window functions, CTEs, query optimization
• Azure Data Fundamentals: Storage, Networking, Key Vault, RBAC, Cost Management
• Azure Databricks: PySpark, SQL, notebooks, jobs, clusters, Delta Lake
• Azure Data Factory: pipelines, activities, datasets, linked services, data flows
• Azure Synapse Analytics: serverless SQL, dedicated SQL pools
• Azure Purview: metadata, lineage, data cataloging
• Python: scripting for automation, utilities, and data processing
• Version Control & CI/CD: Git, branching strategies, pull requests, Azure DevOps pipelines
• Testing: unit/integration tests for data pipelines, data quality frameworks
• Monitoring & Observability: Log Analytics, alerts, operational monitoring
• Performance & Cost Optimization: cluster tuning, caching, partitioning, compute scaling
• Strong verbal and written communication
• Ability to simplify complex technical issues for non‑technical audiences
• Ownership, attention to detail, and a problem‑solving mindset
• Strong time‑management capabilities and ability to meet deadlines
• Ability to collaborate effectively in a team environment
• Adaptability and willingness to learn new technologies

ISO Standards Awareness: Familiarity with ISO 14001 and 45001 standards

• A chance to join a highly ambitious and growth‑oriented team as an Individual Contributor, with opportunities to take ownership of product groups based on performance
• Cross‑functional collaboration and potential for international exposure or short‑term travel
• A strong environment for professional growth, continuous learning, and global collaboration
• A flexible and inclusive workplace that supports work‑life balance
• Competitive salary aligned with our value of Doing the Right Thing