Data Specialist

Data Specialist

Primary Skills
ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures

Specialization
ETL Specialization: Data Engineer

Job requirements
Experience Range: 4 to 6 years of professional experience, including at least 3 years of hands-on ETL development and data integration, with substantial experience in SQL-based solutions Key Responsibilities: 1. Design and implement robust ETL workflows to extract, transform, and load data from multiple sources into data warehouses, ensuring high data quality and consistency 2. Develop, optimize, and maintain advanced SQL queries, stored procedures, and scripts for efficient data processing and reporting 3. Collaborate with data architects and business analysts to define data requirements and deliver scalable ETL solutions aligned with business objectives 4. Build and maintain data models and warehousing solutions to support analytics and reporting initiatives 5. Troubleshoot and resolve ETL process issues to ensure data accuracy and reliability 6. Automate data pipelines using Python and ETL tools to improve operational efficiency 7. Monitor ETL job performance, conduct root cause analysis for failures, and implement improvements for optimal system performance 8. Document ETL processes and data flows to support ongoing maintenance and knowledge transfer Required Skills: 1. ETL development using tools such as Talend or Boomi 2. Advanced SQL for query optimization and complex data manipulation 3. PL/SQL programming for Oracle-based data integration 4. T-SQL scripting for Microsoft SQL Server environments 5. Python scripting for ETL automation and data processing 6. Data warehousing implementation and maintenance 7. Relational and dimensional data modeling 8. Stored procedure development for data transformation 9. Performance tuning of ETL workflows and SQL queries Preferred Skills: 1. Knowledge of cloud-based data integration solutions 2. Familiarity with big data technologies such as Hadoop or Spark 3. Exposure to real-time data streaming and ingestion frameworks Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline 2. Certification in ETL or data integration technologies such as Talend Data Integration, Informatica, or Microsoft Certified: Azure Data Engineer Associate 3. Certification in SQL or database technologies such as Microsoft SQL Server or Oracle PL/SQL Developer Certified Associate