Data Analytics/Engineer (Python and MS Fabric exp)
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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level generalist data engineering role in Pune with broad skills and a known global employer increases competition.
Skills are broadly transferable across industries, though Microsoft Fabric and finance-specific experience adds moderate domain bias.
Explicit 5+ years, mandatory Fabric/Python/SQL and leadership experience create high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and deployment of scalable data analytics and predictive modeling solutions using Python, SQL, and Microsoft Fabric.
Drive implementation of Generative AI initiatives to automate financial reporting, NLP on unstructured data, and workflow enhancements.
Oversee data infrastructure optimization, governance, and collaborate cross-functionally to enable data-driven decision-making and analytics innovation.
Minimum Requirements
Bachelor’s degree in data science, analytics, computer science, or related quantitative field; Master’s degree preferred.
Minimum 5+ years experience in data analytics or data engineering roles with leadership or mentorship responsibilities.
Proficiency in Python/PySpark, SQL, Microsoft Fabric, and cloud data platforms such as AWS or Fabric.
Experience with data pipeline tools (e.g., Apache Airflow, dbt, Azure Data Factory, Informatica) and familiarity with CI/CD and DevOps practices.
Ideal Candidate Profile
Experienced data engineer or analytics lead with strong expertise in architecting scalable cloud-based data platforms and pipelines, particularly using Microsoft Fabric and AWS.
Proven track record of leading AI/ML driven automation projects, particularly with Generative AI applied to finance and unstructured data analytics.
Skilled in managing cross-functional initiatives, driving data governance, and translating complex technical concepts for non-technical stakeholders.