As a Data Engineer with Reporting Knowledge, you will be responsible for designing, developing, and maintaining data pipelines to support efficient data processing and reporting needs. Your expertise in data engineering will be coupled with your proficiency in reporting tools and data visualization to provide valuable insights and actionable business intelligence to stakeholders. Your role will play a crucial part in ensuring data accuracy, data availability, and delivering visually compelling reports and dashboards to enable data-driven decision-making.
Job Location : Bengaluru
Experience : 5+ Years
Required Technical Expertise :
- Proficiency in data engineering concepts and practices, including ETL processes, data warehousing, and database management.
- Strong experience with reporting tools like Tableau, Power BI, QlikView, or similar, to create interactive and insightful dashboards and reports.
- Data visualization skills to transform complex data into visually compelling charts, graphs, and reports.
- Solid knowledge of SQL and experience with various database systems.
- Familiarity with scripting languages like Python, Bash, or similar for automating data workflows.
- Understanding of data quality management principles and practices.
- Ability to work collaboratively in a team environment and excellent communication skills.
- Strong analytical and problem-solving abilities.
Data Quality Management:
Implement data validation and cleansing processes to ensure data accuracy, consistency, and integrity in the reporting system. Monitor data quality and proactively address data issues to maintain reliable reporting.
Optimize data pipelines, queries, and reporting processes to improve performance and reduce data processing time.
Conduct regular performance tuning to enhance the efficiency of the reporting infrastructure.
Collaboration and Documentation:
Collaborate with cross-functional teams, including data analysts, data scientists, and business users, to gather requirements and ensure the reporting solutions meet business needs.
Maintain clear and comprehensive documentation of data pipelines, data models, and reporting solutions.
Continuous Learning and Innovation:
Stay updated with the latest trends and advancements in data engineering and reporting tools to propose and implement innovative solutions.5