Senior Data Engineer

Ciklum

As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

Designing, developing, and deploying Power BI solutions, providing advanced data analytics, and creating dashboards and reports that deliver key insights to the business
Data models design and implementation
Optimize reports and dashboards for better performance by improving query speed and ensuring efficient data model design
Contributes design, code, configurations, manage data ingestion, closed to real-time processing, batch processing, ETL across multiple data storages
Responsible for performance tuning of complicated SQL and DAX queries
Identify gaps and improve the platform’s quality, robustness, maintainability, and speed
Cross-train other team members on technologies being developed, while also continuously learning new technologies from other team members
Contribute in the Unit’s activities and community building, participate in conferences, and provide excellence in exercise and best practices

3+ years of experience in developing BI solutions with Power BI
Proficient in Power BI Desktop and Power BI Service, including report and dashboard creation, data transformations, and DAX formulas
Strong expertise in DAX (Data Analysis Expressions) for complex calculations
Experience with Power Query for data transformations and ETL processes
Solid understanding of data modeling principles and best practices
3+ years of experience coding in SQL(Azure SQL DB or MSSQL preferable), solid CS fundamentals including data structure and algorithm design
2+ years contributing to production deployments of large backend data processing and analysis systems
Experience in data integration and ETL processes
Proficient with Azure Data Services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.)
Strong problem-solving and analytical skills, with a keen attention to detail
Knowledge of professional software engineering best practices for the full software
Knowledge of Data Warehousing, design, implementation and optimization
Knowledge of Data Quality testing, automation and results visualization
Knowledge of the development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
A consistent track record of delivering exceptionally high-quality software on large, complex, cross-functional projects
Demonstrated ability to learn new technologies quickly and independently