As a Data/BI Engineer, you will play a pivotal role in constructing, maintaining, and optimizing data solutions to power the organization’s analytical and decision-making capabilities. You will work in close collaboration with other technical and business teams to deliver insights that drive business value.
๐๐๐ฒ ๐๐๐ฌ๐ฉ๐จ๐ง๐ฌ๐ข๐๐ข๐ฅ๐ข๐ญ๐ข๐๐ฌ:
Data Integration: Design, develop, and maintain ETL (Extract, Transform, Load) processes to gather data from various sources and ensure its accuracy and reliability.
Database Management: Design, construct, install, and maintain large-scale processing systems and other infrastructure. Ensure database performance, security, and availability.
Report and Dashboard Creation: Work with stakeholders to create BI dashboards and reports that provide actionable insights.
Data Quality: Implement data quality checks and balances, ensuring that data used for analysis is clean and trustworthy.
Collaboration: Liaise with data scientists, analysts, and business units to understand and deliver on data requirements.
๐๐ฎ๐๐ฅ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ ๐จ๐ ๐ญ๐ก๐ ๐ข๐๐๐๐ฅ ๐๐๐ง๐๐ข๐๐๐ญ๐:
Education and Experience: Bac+5 (or higher) in computer science, data science, or a related field, with at least 5 years of experience in data engineering or BI roles.
Technical Skills:
Proficiency in data warehouse platforms (e.g., Snowflake, Redshift, BigQuery).
Experience with BI tools (e.g., Tableau, Power BI, Looker).
Knowledge of SQL and scripting languages (e.g., Python, R).
Familiarity with big data technologies (e.g., Hadoop, Spark).
Experience with data modeling and database design.
๐๐๐ซ๐ฌ๐จ๐ง๐๐ฅ ๐๐ฎ๐๐ฅ๐ข๐ญ๐ข๐๐ฌ:
Detail-oriented with a strong focus on data accuracy and reliability.
Ability to collaborate effectively with non-technical stakeholders.
Strong problem-solving skills and analytical thinking.
๐๐ฅ๐ฎ๐ฌ:
Experience in cloud platforms (e.g., AWS, GCP, Azure).
Knowledge of real-time data processing and streaming (e.g., Kafka, Flink).
Certifications related to databases, BI tools, or cloud platforms.
Proficiency in technical English