A data solutions company in India seeks a skilled BI Data Engineer to design and maintain ETL workflows, enhance data visualizations, and optimize SQL queries. The successful candidate will have proficiency in tools such as Power BI and SQL Server, along with experience in data integration and performance monitoring. Strong analytical skills and the ability to collaborate with various teams are essential. This role is ideal for detail-oriented professionals seeking to contribute to business intelligence initiatives.
Qualifications
Experience with data visualization tools (Power BI, Tableau, Qlik).
Hands-on experience in SSIS and SQL Server.
Experience as a BI Data Engineer is required.
Responsibilities
Design, develop, and maintain ETL workflows.
Build dashboards and visual analytics.
Collaborate with BI teams to deliver data solutions.
Skills
Data visualization with Power BI
SQL optimization
ETL processes using SSIS
Python for data processing
Database monitoring
Tools
SQL Server
Power BI
Tableau
Qlik
Job description
Design, develop, and maintain ETL workflows using SSIS and other data integration tools to support data warehousing and business intelligence initiatives.
Work extensively with SQL Server to extract, transform, and load data efficiently, ensuring data accuracy and consistency.
Build dashboards, reports, and visual analytics using tools like Power BI, Tableau, Qlik, or similar visualization platforms.
Optimize SQL queries and stored procedures to improve performance and reduce processing time.
Monitor performance of database systems, track resource utilization, and troubleshoot query throughput issues.
Collaborate with BI teams, data engineers, and business stakeholders to deliver data solutions that support reporting and analytics requirements.
Develop scripts in Python for data manipulation, automation, and integration tasks.
Perform data validation, data quality checks, and ensure timely delivery of processed datasets.
Prepare documentation, maintain ETL logs, and adhere to project timelines and coding standards.
Continuously learn and apply concepts related to normalization, SQL best practices, operating systems, and networking fundamentals.
Candidate Profile
Good experience with data visualization tools (Power BI, Tableau, Qlik, Plotly, Pandas, etc.).
Strong hands‑on experience in SSIS, ETL processes, and SQL Server.
Prior experience as a BI Data Engineer.
Proficient in SQL with strong query debugging and optimization skills.
Good understanding of ETL concepts, data modeling, and data warehousing.
Knowledge of Python for data processing and automation.
Experience in building dashboards and reports using BI tools.
Ability to monitor and optimize database and system performance.
Familiar with scripting, normalization, OS basics, and networking fundamentals.
Excellent communication, analytical, and problem‑solving skills.
Detail‑oriented, organized, and able to manage tasks independently within deadlines.