Consultant-Business Analytics
Allianz SE (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 12–20 LPA
Posted on 25 Sept
Reach people at Allianz SE
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Allianz SE you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, test, and maintain scalable ETL/ELT data pipelines supporting analytics, machine learning models, and business applications.
- Collaborate with cross-functional teams and internal customers to deliver production-ready, secure, and compliant data solutions.
- Implement data security measures and participate in peer reviews to ensure robust, reusable, and well-governed data infrastructure.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
- Proven experience as Analytics Engineer or Data Engineer with Azure Synapse or Databricks (Spark/PySpark, Delta Lake, Unity Catalog).
- Strong SQL and Python skills; familiarity with Synapse Workflows, data modeling methods, version control (GitHub), and CI/CD pipelines.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience engineering data pipelines specifically for machine learning model development, deployment, scoring, and monitoring.
- Knowledge of data governance, security, compliance frameworks, and modern data architectures like medallion architecture and data lakehouse principles.
- Ability to work collaboratively in agile settings and expertise in designing reusable, production-ready data pipelines and feature datasets.