Roles & Responsibilities:
- Develop, optimize, and maintain complex SQL queries, stored procedures, and data pipelines.
- Work with Databricks for data processing, ETL/ELT workflows, and collaborative analytics.
- Manage and integrate datasets within Snowflake and Oracle environments.
- Ensure data quality, accuracy, and reliability across all data operations.
- Collaborate with business and analytics teams to understand requirements and translate them into technical solutions.
- Support performance tuning, debugging, and troubleshooting across data platforms.
- Contribute to documentation, best practices, and process improvements.
- (Optional/Good to have) Develop and maintain Power BI dashboards and data models.
Knowledge and Skills Required:
- Strong proficiency in SQL (query optimization, joins, aggregations, functions, etc.).
- Hands-on experience with Databricks.
- Experience with Snowflake.
- Experience with Oracle databases (PL/SQL, schema design, performance tuning).
- Understanding of data warehousing concepts and ETL/ELT processes.
- Experience working in agile, collaborative environments.
- Excellent analytical and problem-solving skills.