NDA (militari-tech)

Key Responsibilities

• Design, develop, and maintain scalable data models to support analytics and reporting needs
• Build, monitor, and optimize ETL/ELT pipelines using best practices in data transformation and automation
• Collaborate with BI and analytics teams on data requirements
• Ensure data integrity and consistency via automated data tests 
• Proactively suggest data improvements, reporting ideas

Required Qualifications

• 3+ years of experience in analytics engineering, data engineering, or a related field
• Advanced proficiency in SQL, with experience in writing efficient data modeling queries
• Hands-on experience with modern data transformation frameworks (e.g. dbt, Dataform, or similar)
• Strong understanding of data warehousing principles and data architecture best practices
• Familiarity with ETL/ELT methodologies and workflow orchestration tools
• Experience working with cloud-based data warehouses and databases (Snowflake, PostgreSQL, Redshift, or similar)
• Knowledge of BI tools (Power BI, Tableau, Looker, or similar)
• Basic programming skills in Python or another scripting language for automation
• Solid understanding of data governance, lineage, and security best practices
• Experience with Git-based version control and CI/CD workflows for data transformations

Preferred Qualifications

• Deep understanding of data warehouse concepts and database maintenance
• Background in business intelligence, analytics, or software engineering
• Self-motivated and proactive, with the ability to independently uncover and solve problems

To develop employees’ data literacy skills, enhance decision-making quality, and ensure efficient use of information in mission-critical projects.

Key Responsibilities

• Design and deliver training sessions, workshops, and learning modules on working with data (tailored to the specifics of our industry).
• Create instructional materials, guidelines, and best practice documentation for teams.
• Train employees in interpreting data from BI systems, sensor networks, and analytical dashboards.
• Teach principles of data validation, error prevention, and information security.
• Collaborate with data analysts, data engineers, and business units to identify learning needs.
• Monitor participants’ progress and evaluate training program effectiveness.

Core Skills & Requirements

• Experience with BI tools (Power BI, Tableau, Qlik, Looker, or similar).
• Basic knowledge of SQL, statistics, and big data principles.
• Understanding of data visualization and interpretation methods.
• Experience in corporate training delivery or facilitation.
• Knowledge of information security principles and handling sensitive data.
• Ability to adapt complex technical concepts to different audience levels.
• Improved decision-making speed based on data.