Data Analytics/Engineer (Python and MS Fabric exp)

Role overview

Data Analytics/Engineer (Python and MS Fabric exp) at Wolters Kluwer

Required qualifications

• Bachelor’s degree in data science/analytics or Engineering in Computer Science, or related quantitative field.
• At least 5+ years of experience in the field of Data Analytics/Engineering.
• Proven track record of leading data engineering initiatives or mentoring junior data engineers.

Required skills

• Architecting scalable data solutions across cloud platforms.
• Advanced performance tuning and optimization of data pipelines.
• Experience with enterprise-level data governance frameworks.
• Leadership in CI/CD and DevOps practices for data engineering.
• Mentorship experience or team leadership in agile environments.
• Experience with data pipeline tools (e.g., Apache Airflow, dbt, Azure Data Factory, Fabric, Informatica).
• Proficient in SQL and Python/PySpark for complex data transformations and automation
• Hands-on experience with cloud platforms (Fabric or AWS) and data warehouses (Snowflake or Synapse) for large-scale data integration and analysis
• Familiarity with Microsoft Fabric and its integration within modern data ecosystems
• Strong understanding of data modelling, schema design, and performance tuning
• Knowledge of CI/CD pipelines and version control systems like Git
• Soft Skills :
• Strong analytical skills; capable of multi-tasking in fast-paced, dynamic environment
• Strong written and verbal communication, including report writing and data storytelling
• Stay updated with industry trends and evolving tools; Demonstrate a proactive approach to learning new techniques and technologies
• Work effectively across cross-functional teams
• Strong stakeholder management and ability to translate business needs into technical solutions.
• Experience presenting technical concepts to non-technical audiences.
• Proven ability to lead cross-functional initiatives and drive consensus.
• ESSENTIAL DUTIES
• Model Development & Deployment:
• Develop predictive models to forecast key sales and marketing metrics solve to complex business problems and drive strategic insights.
• Lead the end-to-end lifecycle of data science projects, including data preparation, feature engineering, model development, validation, and deployment.
• Lead and architect predictive modeling frameworks.
• Review and guide model development by junior team members.
• Design and implement scalable analytics platforms.
• Drive strategic data initiatives in collaboration with finance and business leaders.
• Data Analysis & Insights:
• Analyze large, complex datasets from multiple sources to identify trends, patterns, and opportunities that inform decision-making.
• Collaborate with finance and accounting teams to automate reconciliations, variance analysis, and error detection using advanced analytics and machine learning.
• Innovation, Automation & Generative AI:
• Lead initiatives leveraging Generative AI (GenAI) technologies to automate the generation of financial reports, narratives, and data summaries, enhancing efficiency and accuracy.
• Lead GenAI strategy for data engineering and analytics automation.
• Evaluate and implement emerging technologies to enhance data workflows.
• Explore and implement GenAI applications to improve natural language processing (NLP) capabilities for extracting insights from unstructured financial documents (e.g., contracts, invoices).
• Drive the adoption of GenAI-powered chatbots or virtual assistants to support finance shared services teams with data queries, process guidance, and routine task automation.
• OTHER DUTIES
• Support Data Infrastructure & Governance:
• Lead efforts to design, optimize, and scale data infrastructure in Microsoft Fabric, defining clear data requirements and overseeing robust ETL/ELT processes.
• Drive data governance initiatives by implementing data quality frameworks, ensuring thorough documentation, and standardizing practices across teams to maintain data integrity.
• Enhance Reporting & Analytics Standards:
• Collaborate with analytics and BI teams to establish dashboard design standards, improve user experience, and ensure consistent KPI definitions across the organization.
• Promote a Data-Driven Culture:
• Advocate for a data-driven culture, promoting the value of analytics in strategic and operational decision-making.
• Lead or support analytical training sessions or workshops for non-technical stakeholders to improve data literacy across the organization.
• Cross-Functional Collaboration:
• Partner with business, product, and operational teams to provide expert data engineering support, enabling effective data-driven solutions and innovation across departments.
• Our Interview Practices
• To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts.
• Our interview process is designed to assess your individual skills, experiences, and communication style.
• We value authenticity and want to ensure we’re getting to know you—not a digital assistant.
• To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process.
• Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
• Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Preferred qualifications and skills

• Master’s degree preferred.

Employment details

• Location: IND-Pune-Smartworks [India]

About the employer

• Wolters Kluwer is a global leader in professional information services that combines deep domain knowledge with specialized technology.

Additional role details

• Our portfolio offers software tools coupled with content and services that customers need to make decisions with confidence.
• Every day, our customers make critical decisions to help save lives, improve the way we do business, build better judicial and regulatory systems.
• We help them get it right.
• JOB QUALIFICATIONS