Business Intelligence (BI) & Data Engineer at Dariel

• We are seeking a skilled Business Intelligence (BI) & Data Engineer to join our team. The ideal candidate will have a strong background in data engineering combined with a deep understanding of business intelligence tools and methodologies. You will design, develop, and optimize data pipelines, ensure data integrity, and deliver business intelligence solutions that drive informed decision-making across the organization.

Responsibilities:

Data Engineering Responsibilities:

• Design, build, and maintain scalable, reliable, and efficient data pipelines for both structured and unstructured data sources.
• Develop, test, and deploy ETL (Extract, Transform, Load) processes to ensure data availability for reporting and analytics.
• Collaborate with Data Scientists and Analysts to provide clean, reliable data for analysis.
• Optimize and monitor database performance, ensuring that data infrastructure meets business needs.
• Manage data storage systems and ensure the integrity and accuracy of data across platforms.
• Work with cloud platforms (AWS, GCP, or Azure) to deploy data solutions and manage data infrastructure.
• Business Intelligence Responsibilities:
• Design, develop, and maintain BI dashboards and reports to deliver actionable insights on business performance metrics.
• Work closely with stakeholders to gather business requirements and translate them into technical solutions using BI tools.
• Analyze complex datasets to uncover trends and provide insights to drive business decisions.
• Ensure data accuracy and consistency across reports and dashboards, optimizing existing solutions for performance and user experience.
• Enhance and maintain the data warehouse, ensuring it supports reporting and analytics needs.
• Stay updated on emerging BI and data engineering tools, suggesting improvements and upgrades when necessary.

General Responsibilities:

• Ensure compliance with data security, privacy, and governance policies.
• Collaborate with cross-functional teams (e.g., Finance, Marketing, Operations) to support data-driven decision-making across the business.
• Document data workflows, ETL processes, and BI solutions for future reference and scalability.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
• 3-5+ years of experience in a combined Data Engineering and Business Intelligence role or similar.
• Strong proficiency in SQL and hands-on experience with ETL tools such as Airflow, SSIS, or Talend.
• Proficiency with BI tools like Tableau, Power BI, Looker, or QlikView.
• Experience with programming languages such as Python, Java, or Scala.
• Expertise in data warehousing concepts and technologies such as Snowflake, Redshift, or BigQuery.
• Experience working with cloud platforms (e.g., AWS, GCP, Azure).
• Knowledge of both SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
• Understanding of data governance, data security, and compliance standards.
• Experience with real-time data processing and data streaming tools such as Kafka is a plus.

Skills:

• Strong problem-solving skills with an ability to analyze and interpret complex data.
• Excellent attention to detail, ensuring accuracy and reliability in both data engineering and BI solutions.
• Ability to work cross-functionally, bridging technical and business teams.
• Strong communication skills to translate technical concepts into business-friendly insights.
• Self-driven with the ability to manage multiple projects and meet deadlines.
• Experience with Agile methodologies and project management tools (e.g., JIRA, Trello).

Preferred Qualifications (Optional):

• Certifications in cloud platforms (AWS, Azure, GCP) or BI tools (e.g., Tableau Certified Associate, Microsoft Power BI Certification).
• Experience with advanced analytics, machine learning pipelines, or predictive modeling.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.