Data Office Developer (SQL , Python, Data Engineering , Data Warehousing)
Job Location:
Monthly Salary:
Experience Required:
Posted on:
5 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: Data Office Developer (SQL Python ETL Data Warehousing)
Role: Data Office Developer
Key Responsibilities
Design develop and maintain database objects scripts queries and data processing logic using SQL and Python
Analyze business and technical requirements and translate them into scalable data solutions
Support data extraction transformation loading validation reconciliation and reporting activities across multiple data platforms
Develop and optimize SQL queries stored procedures and scripts to support data analysis reporting and operational needs
Work with relational and cloud-based databases such as Oracle IQ BigQuery and HANA as applicable
Collaborate with business analysts data analysts architects quality engineering teams and business stakeholders to understand data requirements and resolve issues
Assist in data modeling activities including understanding source-to-target mapping relationships business rules and data lineage
Support dashboard/reporting development or validation using tools such as Tableau and Looker
Perform data quality checks troubleshoot data issues and support root cause analysis for defects or production incidents
Prepare and maintain technical documentation data mapping documents design notes deployment steps and support handover materials
Must Have Skills
Strong hands-on experience with SQL including writing debugging and optimizing complex queries
Proficiency in Python for data processing automation scripting and analysis
Solid understanding of database concepts including tables views joins indexes keys normalization stored procedures and data integrity
Ability to analyze data troubleshoot issues and validate results across source and target systems
Experience working with large datasets and applying data quality reconciliation and validation techniques
Strong communication skills with the ability to work with technical and business stakeholders
Good to Have Skills
Experience with database platforms such as Oracle IQ BigQuery and SAP HANA
Understanding of ETL concepts including extraction transformation loading scheduling monitoring and error handling
Knowledge of data modeling concepts such as conceptual logical and physical models star schema snowflake schema facts dimensions and source-to-target mapping
Experience with reporting and visualization platforms such as Tableau and Looker
Exposure to data warehousing analytics platforms cloud data services and enterprise reporting environments
Required Skills:
Sailpoint
