Job
Description
Job Description: 5-7 years of hands-on experience in SQL development, query optimization, and performance tuning. Expertise in ETL tools (SSIS, Azure ADF, Databricks, Snowflake or similar) and relational databases (SQL Server, PostgreSQL, MySQL, Oracle). Strong understanding of data warehousing concepts, data modeling, indexing strategies, and query execution plans. Proficiency in writing efficient stored procedures, views, triggers, and functions for large datasets. Experience working with structured and semi-structured data (CSV, JSON, XML, Parquet). Hands-on experience in data validation, cleansing, and reconciliation to maintain high data quality. Exposure to real-time and batch data processing techniques. Nice-to-have: Experience with Azure/Other Data Engineering (ADF, Azure SQL, Synapse, Databricks, Snowflake), Python, Spark, NoSQL databases, and reporting tools like Power BI or Tableau. Strong problem-solving skills and the ability to troubleshoot ETL failures and performance issues. Ability to collaborate with business and analytics teams to understand and implement data requirements.
