Data Office Developer (SQL , Python, Data Engineering , Data Warehousing)

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