Qualifications

• 5-7 years of experience in data engineering or a related field.
• Expert-level knowledge of SQL and Oracle PL/SQL.
• Strong experience with ETL tools, particularly Informatica Power Center.
• Proficiency in scripting and automation using Unix and Python.
• Deep understanding of relational databases and performance tuning techniques.
• Familiarity with data warehousing and dimensional modeling techniques using Oracle.
• Experience with cloud-based and on-premises data integration patterns.

Responsibilities

• Write complex SQL queries to extract and manipulate data.
• Develop and optimize PL/SQL stored procedures, functions, and packages.
• Utilize ETL tools to facilitate data movement and transformation.
• Automate data workflows through scripting in Unix and Python.
• Implement performance tuning for relational databases.
• Design and maintain data warehousing solutions that support analytics.
• Manage source code using GitHub in data engineering projects.

Benefits

• Flexible work hours to promote work-life balance.
• Opportunity for professional development and training.
• Access to the latest tools and technologies in data engineering.
• Collaborative work environment with a focus on innovation.
• Health and wellness programs to support employee well-being.