Data Engineer

Job Description

• In this role, you will develop analytics solutions for the Wolters Kluwer Health Finance Business Intelligence team's customers using SQL, advanced programming languages, Power BI dataflows and cloud-based data warehouses (such as Azure Synapse) on the Power BI platform
• You will be working within the Wolters Kluwer FSS organization to support the Financial Leadership in identifying financial strategic needs and directions for FSS

Key Responsibilities

• Analyse sales reporting data to identify trends and patterns, such as anticipated revenue/contract volumes by customer segments and product lines
• Enable self-service capabilities in Sales Reporting teams by developing curated datasets in Power BI dataflows and/or cloud-based data warehouses
• Identify trends and transform raw data to generate business insights for the Health Finance BI team's customers

• Understand key business drivers and build knowledge of Wolters Kluwer Health, its Finance division, and the Business Intelligence team's customers
• Assist in identifying business unit opportunities and challenges by continually reviewing and analyzing financial and operational data
• Model trends, identify relationships, and spot opportunities
• Test hypotheses and alternatives to find optimal solutions
• Collaborate with other leaders to identify new business models and workflows
• Assist in building business cases for necessary investments and strategic plans to achieve planned results

• Simplify, standardize, and automate existing reports and dashboards
• Enhance visualization and drill-down capabilities to provide better insights for Root Cause Analysis

• Collaborate with Finance BI team members and business users to identify use cases for reporting, prioritize and execute development activities, and communicate with stakeholders
• Foster positive and professional relationships with stakeholders for effective collaboration and communication

• Strong Experience in SQL is required.
• Experience with transforming large datasets in a cloud-based data warehouse (Snowflake, Amazon Redshift, Azure Synapse, Google Big Query) and generating insights in a visualization platform (Excel, Power BI, Tableau, Qlik)
• Required: Bachelor's degree in data science/analytics, finance, accounting, or economics or Engineering in Computer Science, or related quantitative field
• Required experience: in in Data Engineering
• Required: Experience in visualization tools (like Tableau, Power BI)
• Strong ETL programming skills using SQL and advanced programming languages such as Python/Py-Spark
• Knowledge of connecting to various types of data sources through dashboarding tools and Python
• Sound knowledge of statistical modelling
• Strong analytical skills capable of multi-tasking in fast-paced, dynamic environment
• Ability to mentor team members / colleagues especially in technical aspects such as debugging and best practices in writing code
• Ability to communicate effectively to multiple constituencies in multiple platforms including email

Physical Demands

Minimum 2 days working from office (Pune-Kalyani Nagar).