Description

You will be a Data Engineer responsible for building and maintaining data ingestion and processing workflows.

Responsibilities

• Develop and test Data Engineering components based on technical specifications.
• Build ETL workflows and data pipelines adhering to enterprise standards.
• Configure and script automated data pipelines, stored procedures, and ETL workflows from on-premises sources to cloud platforms (e.g., Snowflake) and application platforms (e.g., Salesforce).
• Assist in updating enterprise standards when technical gaps are identified.
• Participate in the 24-hour on-call rotation for platform support.

Required Skills

• 5+ years of experience creating and maintaining ETL processes using Salesforce as a destination.
• Proficiency with Snowflake, Oracle, and SQL Server database platforms.
• Experience with programming languages including Python, PL/SQL, T-SQL.
• Hands-on experience with ETL tools such as Informatica PowerCenter, Informatica Iics, or IDMC, and StreamSets.
• Familiarity with RedHat Enterprise Linux and Windows Server OS environments.
• Strong desire and proven ability to automate repeatable processes.

Key Skills

Education

Any Gradute