Data Scientist & Data Engineer @ Zuno General Insurance

Looking someone for Data Science Team for Mumbai office

Job Description

We are looking for a Data Engineer with 2-4 years of experience to join the Data Science team. The role will focus on building and maintaining scalable data pipelines, enabling efficient data access for machine learning and analytics use cases and ensuring high data quality across multiple data sources.

1. Your key responsibilities -

Data Infrastructure & Pipeline Development:

• Design, develop, and maintain scalable data pipelines to ingest, transform, and process data from multiple internal and external sources.
• Build and maintain data lakes, data warehouses, and curated data layers to support analytics and machine learning applications.
• Optimize data storage, processing, and retrieval mechanisms for large-scale datasets.

Stakeholder Management:

• Work closely with data scientists and business stakeholders to understand data requirements.
• Enable easy access to high-quality datasets for analytics and AI use cases.
• Collaborate with IT and engineering teams to ensure secure and reliable data infrastructure.

Technical & Analytical:

• Develop and maintain ETL/ELT workflows for batch and near real-time data processing.
• Implement data quality checks, validation rules, and monitoring frameworks.
• Support development of feature engineering pipelines for machine learning models.
• Build automation frameworks for data ingestion, transformation, and reporting workflows.
• Develop pipelines through web scraping and API integrations

2. Qualifications & Experience/Skills -

Skills:

• Strong programming skills in Python and SQL.
• Experience building ETL/ELT pipelines for data ingestion and transformation.
• Hands-on experience with data processing frameworks such as Apache Spark / PySpark.
• Experience working with relational databases and data warehouses (PostgreSQL, MySQL, Snowflake, Redshift, BigQuery, etc.).
• Familiarity with workflow orchestration tools such as Apache Airflow
• Experience working with cloud platforms (AWS/Azure/GCP) and related data services.
• Experience in BI tools like PowerBI, Qlik
• Exposure to data modeling, data quality frameworks, and pipeline monitoring tools.
• Basic understanding of machine learning pipelines and MLOps workflows.
• Familiarity with real-time data processing or streaming platforms (Kafka, event-based systems) is an advantage.

Education:

• Bachelor’s or master’s degree in computer science, Information Technology, Data Engineering, Statistics, Mathematics, or related quantitative field.
• Certifications in cloud platforms (AWS/Azure/GCP), data engineering, or big data technologies will be an added advantage.

Experience:

• 2–4 years of experience in data engineering, data analytics engineering, or backend data development.
• Hands-on experience in building data pipelines, ETL/ELT processes, and data infrastructure to support analytics and machine learning applications.
• Experience working with large-scale structured and semi-structured datasets.
• Exposure to cloud-based data platforms and modern data engineering tools.
• Experience supporting data science teams or ML pipelines will be preferred.

Interested candidates can share their resume on Ankita.s@hizuno.com

Regards,

Zuno Team

Human Resource