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