Description

You will build and manage data solutions to drive business insights through advanced data engineering and analytics.

Responsibilities

• Build and manage scalable data solutions and pipelines.
• Develop complex SQL queries, stored procedures, and perform database tuning.
• Process and transform large datasets using PySpark.
• Implement ETL processes using tools like SSIS.
• Support business intelligence requirements using reporting tools.

Required Skills

• 6-8 years of experience in data engineering.
• Expertise in Snowflake and Databricks SQL.
• Proficiency in PySpark for data transformation.
• Advanced SQL skills including performance tuning.
• Hands-on experience with MS SQL Server, MySQL, and Snowflake.
• Experience with AWS S3 and big data frameworks like Cloudera.
• Proficiency with ETL tools such as SSIS.
• Experience with file formats including JSON, CSV, XML, and Excel.
• Working knowledge of Power BI, Tableau, and SSRS.
• Experience with AWS cloud platforms.
• Use of GitHub, SVN, Visual Studio, and SSMS.
• Familiarity with Jira for ticket tracking.

Preferred Skills

• Knowledge of Snowflake Cortex.

Key Skills

Education

Bachelor's degree