in data engineering and analysis tasks to meet business requirements and maximize effectiveness. The candidate should understand technical aspects of data management, including creating, collecting, loading, transforming, cleansing, processing, storing, analyzing, and visualizing data into valuable business insights while ensuring data quality, reliability, and accessibility.
Key Responsibilities
Design, develop, and maintain scalable data pipelines and ETL processes
Implement data quality checks and monitoring systems
Create and maintain documentation for data processes and architecture
Troubleshoot data-related issues and implement solutions
Must-Have Skills
Strong proficiency in Power BI, Business Objects, Webfocus, SQL
Knowledge of ETL tools and frameworks
Knowledge of scheduling tools
Knowledge of data modeling
Experience with data warehousing concepts
Experience building data products incrementally and integrating and managing datasets from multiple sources
Agile/Scrum methodology experience
Good to Have
Knowledge of cloud platforms (AWS, Snowflake)
Knowledge of Python programming language
Knowledge of Version control systems (Git)
Understanding of CI/CD pipelines (GitHub Actions)
Familiarity with data visualization tools (Power BI)
Familiarity with data governance and security protocols
Soft Skills
Strong problem-solving and analytical skills
Good communication and collaboration abilities
Eagerness to learn new technologies and frameworks
Ability to work in a team-oriented environment
Qualifications:
Education:
Graduate - Bachelor's degree (any stream)
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