- Educational Background : bachelor s or master s degree in computer science, or related field.
- Professional Experience : 5-7 years in data engineering or related field, handling large-scale data systems.
Analytical Skills
- Data Warehousing : Experienced in building and maintaining data warehouses and data lakes.
- Data Modeling : Skilled in designing efficient data models using Dimensional modeling techniques.
- ELT Processes : Proficient in creating and managing ELT pipelines.
- Master Data Management (MDM) : Strong understanding and experience in implementing master data management solutions to ensure data consistency and quality across the organization.
Adaptability and Continuous Learning
- Staying Updated : Keeps abreast of latest trends and technologies in data engineering.
- Embracing Change : Open to adopting new tools and methodologies.
- Continuous Improvement : Seeks opportunities to improve processes and systems.
Primary Technology Skills (Must -have s)
- Proficient in SQL programming with strong debugging capabilities.
- Proficient in Python programming language for data manipulation, scripting, and automation tasks.
- Proficient in designing, implementing, and managing ELT processes using Azure Data Factory, Databricks, or dbt to move and transform data across systems.
- Skilled in designing efficient data models, especially using Dimensional modeling techniques.
- Experience with Snowflake data warehouse platform for cloud-based data storage and analytics.
- Knowledgeable in Microsoft Azure cloud services for data storage, processing, and management.
- Strong understanding and experience in implementing master data management solutions to ensure data consistency and quality across the organization.
- Good understanding of data governance principles and practices. Exposure to data quality tools and experience implementing data quality rules as part of master data management.
- Experience working within Agile frameworks like SAFe (Scaled Agile Framework) or Kanban.
Secondary Technology Skills
- Experience in conducting peer reviews and mentoring less experienced data engineers.
- Experienced in setting up and managing workflow orchestration tools like Apache Airflow for scheduling and monitoring data pipelines.
- API s integration for data consumption.
- Experience in building dashboards or scorecards using Power BI.
Behaviors
- Embracing an agile mindset
- Customer-Centricity and Design Thinking
- Good social and communication skills.
- Being curious, a quick learner and having a structured and analytical mind-set
- Being willing to innovate and take on new challenges.
- Being result oriented and striving for improvements.
- Positive attitude and being motivating and energizing.
- Copes with change and decides well without having the total picture.
