Required Technical Skills :-

🔸3–6 years of hands-on experience in Business Intelligence, BI Engineering, Data Engineering, or a related role.

🔸Strong proficiency in SQL and relational databases.

🔸Hands-on experience with Power BI and/or Tableau.

🔸Good understanding of ETL/ELT processes and Data Warehousing.

🔸Experience in data modelling, including Star and Snowflake schemas.

🔸Experience working with databases such as SQL Server, Oracle, PostgreSQL, or similar.

🔸Experience developing dashboards, reports, KPIs, and analytical datasets.

🔸Good understanding of data quality, data validation, and data integration concepts.

🔸Exposure to cloud-based data platforms such as Microsoft Azure, AWS, or GCP.

🔸Knowledge of Azure Data Factory, Databricks, Snowflake, or similar technologies is preferred.

🔸Experience with PowerQuery and DAX is preferred for Power BI-focused roles.

🔸Basic knowledge of Python for data processing or automation would be an advantage.

Qualifications

🔸Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related discipline.

🔸Ability to work independently as well as collaboratively within a team.

🔸Experience working in an enterprise environment with multiple data sources and business stakeholders.

Preferred Skills

🔸Banking or financial services experience.

🔸Experience working with large datasets and enterprise reporting platforms.

🔸Exposure to cloud-based BI and modern data platforms.

🔸Knowledge of data governance, data security, and data management