Senior Data Engineer with Azure (ADF/Fabric/Synapse), SQL, Data modeling, ETL/ELT, Python/PySpark

Wolters Kluwer — IND-Pune-Smartworks

ABOUT US Wolters Kluwer is a global leader in professional information services that combines deep domain knowledge with specialized technology. 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 Education : Bachelor’s degree in data science/analytics or Engineering in Computer Science, or related quantitative field. Master’s degree preferred. Experience : 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. Technical 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

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