We 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 Responsibilities
- Design, develop, and maintain scalable data pipelines and enterprise data solutions.
- Build and optimize data warehouses, data marts, and analytical data models.
- Develop interactive dashboards, reports, and visualizations for business stakeholders.
- Design, optimize, and maintain relational and cloud-based databases.
- Develop SQL queries, stored procedures, and database objects for high-performance data processing.
- Implement ETL/ELT processes and data integration workflows.
- Collaborate with business analysts, data engineers, architects, and application teams to deliver data-driven solutions.
- Ensure data quality, security, governance, and performance across enterprise platforms.
- Troubleshoot and optimize database performance and reporting solutions.
- Prepare technical documentation and follow enterprise data management best practices.
Must-Have Skills
- Experience with Snowflake or comparable cloud data warehouse platforms.
- Experience with Power BI OR Tableau for business intelligence and data visualization.
- Strong experience with PostgreSQL OR Microsoft SQL Server .
- Experience with Redis or comparable in-memory caching technologies.
- Experience with Dataiku DSS OR Vertex AI for advanced analytics, AI, and data science workflows.
- Strong knowledge of SQL , database design, and query optimization.
- Experience developing ETL/ELT pipelines and enterprise data integration solutions.
- Strong understanding of data modeling, data warehousing, and analytics concepts.
Good to Have
- Experience with Azure Synapse OR Google BigQuery OR Amazon Redshift .
- Experience with Databricks OR Apache Spark .
- Experience with Apache Airflow OR Azure Data Factory OR dbt .
- Knowledge of Python for data engineering and automation.
- Experience with Git , CI/CD pipelines, and DevOps practices.
- Understanding of data governance, metadata management, and data quality frameworks.
- Experience with cloud platforms such as Microsoft Azure , AWS , or Google Cloud Platform (GCP) .
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, Software Engineering, or a related field.
- 3 12+ years of experience in data engineering, database development, business intelligence, or enterprise data platform development.
Preferred Skills
Experience designing enterprise data warehouse and analytics architectures.
Experience delivering cloud-based data modernization and digital transformation projects.
Strong analytical and problem-solving skills.
Experience working in Agile/Scrum environments.
Excellent communication, documentation, and stakeholder management skills.
Ability to optimize data platforms for scalability, reliability, and performance.
Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, Software Engineering, or a related field.
3 12+ years of experience in data engineering, database development, business intelligence, or enterprise data platform development.
Experience designing enterprise data warehouse and analytics architectures.
Experience delivering cloud-based data modernization and digital transformation projects.
Strong analytical and problem-solving skills.
Experience working in Agile/Scrum environments.
Excellent communication, documentation, and stakeholder management skills.
Ability to optimize data platforms for scalability, reliability, and performance.
