REQUIREMENT

a. Strong programming skills, relational database skills with expertise in Advanced Sql and PL/Sql, Oracle etc. b. Experience using cloud-based Data Warehouses (Snowflake, Redshift etc) c. Hands-on experience with Snowflake utilities such as SnowSQL, SnowPipe, Python, Tasks, Streams, Time Travel, Optimizer, Metadata Manager, data sharing, and stored procedures. d. Databases - Oracle, MS SQL, MySQL and other open-source databases e. Understand business requirements in BI context and design data models to transform raw data into meaningful insights / Convert business requirements into technical specifications f. Create dashboards and interactive visual reports using Power BI g. Identify key performance indicators (KPIs) with clear objectives and consistently monitor those. h. Analyzing data and presenting data through reports that aid decision-making i. Create relationships between data and develop tabular and other multidimensional data models. j. To create different types of Charts and data documentation explaining algorithms, parameters, models, and relations. k. Design, develop, test, and deploy Power BI scripts and perform detailed analytics l. Perform DAX queries and functions in Power BI. m. Analyze current ETL process, define and design new systems,Business Intelligence tools n. BI Tools and Big Data: Tableau, Metabase, BigQuery, Hadoop Framework,S Power BI other Power BI tools (Hive and Impala) o. Having the professional development experience using relational databases, Big data, latest BI Visualisation tools p. In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework. q. Knowledge of SQL queries, SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS) r. Defining a BI interface, Setting tech demands, Object relations reporting, Strong database knowledge, Quality Assurance and Solid software development skills. s. Experience in Cloud Data warehousing using AWS or MS Azure, Azure Date factory Data Lake t. Data Analysis and Visualization: Python, with libraries – NumPy, Pandas, Matplotlib,G Suite; Google Data Studio u. Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, Version Control and Office software. v. Experience with scripting languages like java, Shell, JavaScript is a plus. w. Extensive experience in designing and managing APIs using tools such as Apigee, AWS API Gateway, and Google Cloud Endpoints. Skilled in microservices-to-microservices communication, API versioning, and ensuring backward compatibility. x. Expertise in delivering microservices-based applications, with hands-on experience in REST/JSON, Java, Python, Spring Boot, and Docker. You are proficient in container orchestration platforms such as Kubernetes, and have experience with service meshes like Istio for managing microservices communication and security. y. Broad understanding of multiple existing and next generation Business intelligence tools and technologies z. Proficiency with the following software tools/applications: Microsoft Office, SharePoint, OneDrive, and Atlassian (Jira & Confluence).

DETAIL LOWONGAN

• Umur -
• Min GPA -
• Min. Qualification S1/D4
• Min Experience Staff