Data Engineer

Manage master data, including creation, updates, and deletion within Power BI.

Administer user access and roles, including Row-Level Security configurations.

Handle and process confidential data in accordance with internal guidelines.

Develop reports, analyses, and visualizations in collaboration with various departments using Power BI.

Maintain, optimize, and troubleshoot existing Power BI dashboards.

Configure and connect APIs to support data automation and integration.

Support initiatives focused on data quality, integrity, and standardization.

Conduct testing, implement new or upgraded software solutions, and assist in strategic decisions related to data systems.

Generate reports from single or multiple source systems.

Diagnose and resolve issues within the reporting environment and datasets.

Assess the impact of changes or updates to source production systems.

Apply technical expertise in data storage structures, data mining, and data cleansing.

Contribute to the development of low-code applications (Power Apps) aligned with business needs.

Design and maintain scalable ETL pipelines with Talend to ingest, transform, and load data from diverse sources into a structured data warehouse (star/snowflake schemas).

Optimize Talend workflows with data quality checks, error handling, and performance tuning to ensure reliable, well-modeled datasets for analytics and reporting.

QUALIFICATION

• Expertise in Power BI (Power Query, DAX, data modeling, Power BI Service, Row-Level Security).
• Strong understanding of data modeling principles.
• Experience connecting and integrating APIs with Power BI.
• Proficiency in ETL processes and data preparation.
• Knowledge of SQL (querying, joins, transformations).
• Familiarity with data warehousing and relational database concepts.
• ETL Development & Data Integration.
• Data Modeling (Star/Snowflake Schemas).
• Experience with Power Automate and/or Power Apps (nice to have).
• Understanding of data governance, data quality, and normalization concepts.
• Ability to troubleshoot data refresh issues, gateway configurations, and performance bottlenecks.
• Experience working with multiple data sources (Excel, databases, cloud services, APIs, etc.).
• Educational: Bachelor's/Master's degree from an accredited university or college in a computer science-related program.

PREFERRED SKILLS

• Work experience as a data analyst or in a related field.
• Ability to analyze existing tools and databases and provide software solution recommendations.
• Demonstrated experience in handling large data sets and relational databases.
• High-level written and verbal communication skills.
• Teamwork and willingness to perform through cooperation.
• Strong attention to detail.
• Willingness to embrace change and solve problems.
• Strong analytical mindset; data-oriented.
• Familiarity with low-code applications is a plus.
• Knowledge or experience with NDA and data sensitivity.
• Ability to communicate with English-speaking and multicultural stakeholders.
• Familiar with supporting processes.
• Comfortable working autonomously and taking initiatives.

Experience : 3-6 years