Data Developer

Job Title: Data Developer Experience: 3–12+ Years Experience:Role SummaryWe are seeking an experienced Data Developer to design, develop, and optimize enterprise data platforms, data warehouses, analytics solutions, and business intelligence applications. The ideal candidate will have expertise in data engineering, database development, reporting, cloud data platforms, and AI-enabled analytics to support enterprise decision-making and digital transformation initiatives.Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and enterprise data solutionsBuild and optimize data warehouses, data marts, and analytical data modelsDevelop interactive dashboards, reports, and visualizations for business stakeholdersDesign, optimize, and maintain relational and cloud-based databasesDevelop SQL queries, stored procedures, and database objects for high-performance data processingImplement ETL/ELT processes and data integration workflowsCollaborate with business analysts, data engineers, architects, and application teams to deliver data-driven solutionsEnsure data quality, security, governance, and performance across enterprise platformsTroubleshoot and optimize database performance and reporting solutionsPrepare technical documentation and follow enterprise data management best practicesMust-Have SkillsExperience with Snowflake or comparable cloud data warehouse platformsExperience with Power BI OR Tableau for business intelligence and data visualizationStrong experience with PostgreSQL OR Microsoft SQL ServerExperience with Redis or comparable in-memory caching technologiesExperience with Dataiku DSS OR Vertex AI for advanced analytics, AI, and data science workflowsStrong knowledge of SQL, database design, and query optimizationExperience developing ETL/ELT pipelines and enterprise data integration solutionsStrong understanding of data modeling, data warehousing, and analytics conceptsGood to HaveExperience with Azure Synapse OR Google BigQuery OR Amazon RedshiftExperience with Databricks OR Apache SparkExperience with Apache Airflow OR Azure Data Factory OR dbtKnowledge of Python for data engineering and automationExperience with Git, CI/CD pipelines, and DevOps practicesUnderstanding of data governance, metadata management, and data quality frameworksExperience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP)QualificationsBachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, Software Engineering, or a related field3–12+ years of experience in data engineering, database development, business intelligence, or enterprise data platform developmentPreferred SkillsExperience designing enterprise data warehouse and analytics architecturesExperience delivering cloud-based data modernization and digital transformation projectsStrong analytical and problem-solving skillsExperience working in Agile/Scrum environmentsExcellent communication, documentation, and stakeholder management skillsAbility to optimize data platforms for scalability, reliability, and performance