Data Analytics/Engineer (Python and MS Fabric exp)

Overview

Data Analytics/Engineering role focused on building predictive models and scalable analytics/data solutions using Python and Microsoft Fabric.

What you'll do

• Develop predictive models to forecast key sales and marketing metrics.
• Lead end-to-end data science lifecycles from data preparation through deployment.
• Architect scalable analytics platforms and data engineering solutions.
• Analyze large datasets to identify trends, patterns, and opportunities.
• Lead GenAI initiatives for automating financial report generation and data summaries.
• Design and scale data infrastructure in Microsoft Fabric with ETL/ELT processes.

What you'll need

• At least 5+ years of experience in data analytics/engineering.
• Bachelor’s degree in data science/analytics or engineering in computer science (or related quantitative field).
• Experience with tools like Apache Airflow, dbt, Azure Data Factory, Fabric, or Informatica.
• Proficiency in SQL and Python/PySpark for complex transformations and automation.
• Hands-on cloud experience with Fabric or AWS and data warehouses like Snowflake or Synapse.
• Leadership/mentorship experience for leading initiatives or mentoring junior data engineers.
• Knowledge of CI/CD and version control systems such as Git.

Details

• Location: Pune (Smartworks), India.
• Applicants may be required to appear onsite at a Wolters Kluwer office.