We are looking for BI Engineer and Data Engineer to join our team. You can APPLY and our team will get back to discuss further regarding the position.

Business Intelligence Engineer

Responsibilities:

• Build the reporting data model and help the data engineering team with creating views , SQL scripts
• Monitor ETL processes, system audits, dashboard reporting and presentation layer functioning and performance
• Use business intelligence and visualization software (e.g., AWS, Redshift, Tableau, PowerBI, QuickSight, ) to empower non-technical, internal customers to drive their own analytics and reporting
• Monitor ETL processes, system audits, Dashboard Reporting and Presentation Layer functioning and performance and pro-actively fix issues as found
• Provide complex analysis, conceptualize, design, implement and develop solutions for critical BI components
• Perform dataflow, system and data analysis and develop meaningful and useful presentation of data in BI applications
• Plan and implement standards, define/code conformed global and reusable objects, perform complex database design, data modelling (EDW and programming and streamline the systems
• Contribute to data analysis, design and development of new and ongoing business intelligence (BI) projects involving complex EDW structures OR on OLTP systems
• Collaborate closely with internal and external teams to understand and apply changes/modifications impacting data warehouse

Skills and Qualifications:

• A bachelor's degree in Computer Science, Computer Engineer, Information Technology
• Relevant certifications in BI tools, data warehousing, or data analytics are a plus.
• Strong SQL skills and experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server).
• Proficiency in BI tools such as Power BI, Tableau, or similar.
• Experience with data warehousing concepts and technologies (e.g., Azure, AWS, Redshift, BigQuery, Snowflake).
• Familiarity with programming languages such as Python for data analysis.
• Knowledge of ETL processes and tools (e.g., Informatica, Talend, Apache NiFi).
• A bachelor's degree in Computer Science, Computer Engineer, Information Technology
• Relevant certifications in BI tools, data warehousing, or data analytics are a plus.

Desired experience:

• 5+ years of experience in a BI Engineer, Data Analyst, or similar role.
• Skilled in extracting and analyzing data using advanced SQL techniques, capable of identifying trends and insights that impact business decisions
• Strong experience in SQL Server, data analysis, and using advanced features in visualization tools to develop more interactive dashboards.
• Provides ETL an SQL performance tuning, analysis and recommendations for ease of support, automation and maintenance.

Data Engineer

Responsibilities:

• Excellent with database or data warehouse or ETL tools (Extract Transform and Load) technique and framework
• Proficient in programming languages, Python and Spark for data engineering
• Experience using data frameworks, Hadoop platform, Spark for big data processing and Kafka
• Knowledge and skills in using Apache Hadoop, Cloudera and Azure Cloud
• Understanding of big data and cloud architecture
• Ability to work with data scientist in advanced analytics for preparing or discovering business insights on focus the business strategies.

Qualifications:

• At least 1-5 years’ experience in big data technology, data engineering, data analytic application system development.
• Have an experience of unstructured data for business Intelligence or computer science would be advantage.
• Technical skill in SQL, UNIX and Shell Script, Python, R Programming, Spark, Hadoop programming.
• Soft skill in analytical, decision making, communication and presentation skill.