Database Management Analyst

ICICI Lombard; Mumbai; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

ICICI Lombard Group seeks an experienced Database Manager to lead the design, development, and management of enterprise-grade data warehouses and structured databases supporting Analytics and Data Science teams.

The role focuses on ETL/ELT pipelines, data quality and governance, cloud platform experience (Azure/AWS/GCP), and mentoring a team of Data Engineers/DBAs.

Qualifications

• Extensive experience in database engineering and data warehousing.
• Strong SQL and schema design skills.
• Experience with Oracle, PostgreSQL, SQL Server, or Snowflake.
• Advanced data modeling capabilities (Star Schema, Snowflake).
• Experience with cloud databases (Azure, AWS, GCP).
• Proven experience leading Data Engineers/DBAs teams.

Responsibilities

• Design, build, and maintain enterprise data warehouses.
• Define and manage ETL/ELT pipelines.
• Create structured databases for analytics and ML workloads.
• Optimize queries, indexing, and performance.
• Collaborate with analysts and data scientists on model-ready datasets.
• Ensure data quality, governance, and security.
• Manage database health, backups, and automation.

Skills

SQL

Schema design

Data modeling

Team leadership

Cloud platforms

Tools

Kafka/Spark/Databricks

Job description

Role & responsibilities

We are looking for an experienced Database Manager to lead the design, development, and management of enterprise-grade data warehouses and structured databases that support Analytics and Data Science teams.

Key Responsibilities:

• Design, build, and maintain enterprise data warehouses.
• Define and manage ETL/ELT pipelines.
• Create structured databases for analytics and ML workloads.
• Optimize queries, indexing, and performance.
• Collaborate with analysts & data scientists on model-ready datasets and tables.
• Ensure data quality, governance, and security.
• Manage database health, backups, and automation.

Preferred candidate profile

• 58 years in database engineering/data warehousing.
• Strong SQL and schema design skills.
• Experience with Oracle, PostgreSQL, SQL Server, or Snowflake.
• Strong data modeling (Star Schema, Snowflake).
• Experience with cloud platform databases, Azure, AWS, GCP, etc.
• Experience in leading & guiding team of Data Engineers/DBAs.

Preferred Qualifications:

• Experience with Kafka/Spark/Databricks.
• Database Certifications
• Exposure to ML feature store design.
• Experience in the Insurance domai