Urgent requirement For Data Engineer &BI Engineer

Job Description Data & BI Engineer

Experience: 5+ Years

Employment Type:

. The ideal candidate will develop scalable data solutions, build interactive dashboards, integrate multiple data sources, and support business reporting needs. Key Responsibilities

• Develop, maintain, and optimize databases using MySQL, Microsoft SQL Server, and PostgreSQL. • Write, debug, and optimize complex SQL queries, stored procedures, views, functions, and triggers.
• Perform database performance tuning, indexing, and query optimization. • Develop ETL processes and automate data ingestion from databases, APIs, Excel, and CSV files. • Integrate third-party applications using REST APIs, JSON/XML, and other data exchange mechanisms.
• Design, develop, and maintain interactive dashboards and reports using Grafana, Apache Superset, and MSBI (SSIS/SSRS/Power BI). • Build dashboards with KPIs, filters, drill-down capabilities, and real-time reporting.
• Configure and maintain scheduled reports, email subscriptions, alerts, and automated report delivery. • Develop Python scripts for data extraction, transformation, automation, API integration, and reporting.
• Validate data accuracy and ensure data quality across multiple systems. • Troubleshoot database, ETL, and reporting issues and provide production support.
• Collaborate with business users to understand reporting requirements and deliver data-driven solutions. • Prepare and maintain technical documentation.

Required Skills • 5+ years of hands-on experience with MySQL, MSSQL, and PostgreSQL.

• Strong expertise in complex SQL query writing, joins, CTEs, window functions, and query optimization.
• Good understanding of database design, indexing, normalization, and performance tuning.
• Experience with Grafana, Apache Superset, and/or Microsoft BI (SSIS/SSRS/Power BI). • Experience designing interactive dashboards, KPI scorecards, and operational reports. • Knowledge of report scheduling, automated report distribution, and dashboard management. • Strong proficiency in Python, including Pandas, SQLAlchemy, Requests, and OpenPyXL.
• Experience integrating third-party systems using REST APIs.
• Experience working with Excel/CSV data imports and data transformation.
• Good understanding of ETL processes, data warehousing, and data modeling concepts.
• Familiarity with Git, Linux, and scripting is preferred. Preferred Skills • Knowledge of Apache Airflow, Docker, Kafka, or cloud platforms (AWS/Azure/GCP). • Experience in FinTech, Banking, E-commerce, or Crypto domains. • Exposure to Agile/Scrum development methodologies.

Qualifications • Bachelors degree in Computer Science, Information Technology, Engineering, or a related field. • 5+ years of relevant experience in Data Engineering, Database Development, or Business Intelligence. • Strong analytical, problem-solving, communication, and teamwork skills.

Interested candidate can share resume on [email protected]