The Enterprise Data Management team is looking to solve complex data challenges by managing enterprise data assets, engineering scalable reporting solutions, and delivering actionable insights.
Requirements
- Strong command of Python for data analysis and scripting
- Working knowledge of Java for backend data processing and integration tasks.
- Python (leveraging libraries such as Pandas, NumPy, and SciPy)
- Java
- Tableau, Power BI, or custom-built web interfaces
- DAX, Power Query, and Salesforce APIs
- Python, Java, and SQL-based tools to extract data from PostgreSQL, MSSQL, and cloud-based data lakes.
Responsibilities
- Perform exploratory data analysis (EDA) and statistical profiling using Python (leveraging libraries such as Pandas, NumPy, and SciPy) and Java for backend data processing tasks.
- Develop reusable scripts and modular code for data wrangling, anomaly detection, and KPI tracking.
- Apply object-oriented programming principles to build scalable data pipelines and analytical utilities.
- Design and implement interactive dashboards using Tableau, Power BI, or custom-built web interfaces.
- Utilize DAX, Power Query, and Salesforce APIs to integrate disparate data sources into unified reporting layers.
- Build and maintain ETL workflows using Python, Java, and SQL-based tools to extract data from PostgreSQL, MSSQL, and cloud-based data lakes.
- Automate data cleansing and transformation routines using Apache POI (for Excel automation in Java), VBA, and Power Query.
Other
- Contract
- 8am to 5pm
- Business Intelligence
- Communication Skills
- Stakeholder Management
