Job description
• Build & Maintain Data Systems: Develop and manage robust, scalable data warehouses, databases, and pipelines.
- ETL/ELT Processes: Create and optimize processes to extract, transform, and load data from diverse sources.
- Data Quality & Integrity: Implement checks, clean data, and ensure accuracy and reliability for analytics.
- Collaboration: Work with data scientists, analysts, and product teams to meet data needs.
- Infrastructure: Design data architecture for efficient storage, retrieval, and processing.
- Automation & Optimization: Automate manual tasks and optimize performance of data systems.
- Security & Compliance: Implement security measures and ensure data privacy.
- Dashboard Creation / Update: Work with BI tools to create and optimize dashboards and reports for business users Requirements
- Education: Degree in Computer Science or related field.
- BI tools such as Power BI & Tableau : Complex DAX, Visualization, Dashboard Performance tuning
- Databases: SQL, NoSQL, database design, data modelling.
- Tools: ETL tools, data warehousing solutions, API integrations. •Programming: Python, Java, SQL (strong expertise).
- Soft Skills: Analytical skills, problem-solving, communication, teamwork. •Business Acumen: Deep understanding of business processes, pain points, and strategic goals to proactively identify data and reporting needs.
- Big Data: Familiarity with tools like Spark, Hadoop, Kafka, Hive.
- Cloud: Experience with cloud platforms (AWS, Azure, GCP) is often required.
- Excel Mastery: Utilize advanced features in Microsoft Excel (Pivot. Tables, advanced formulas, data modelling) for ad-hoc analysis, prototyping, and data validation.