Data Engineer

2 weeks ago


Mumbai, India ManipalCigna Health Insurance Company Ltd. Full time
About the Company
At ManipalCigna we resonate your commitment to your family’s health and well-being through a range of comprehensive Health Insurance plans. ManipalCigna Health Insurance Company Limited (formerly known as CignaTTK Health Insurance Company Limited) is a joint venture between the Manipal Group, a leader in the field of healthcare delivery and higher education in India and Cigna Corporation, a global health services company with presence in 30+ countries and serving 180 million+ customers around the world. With a deep focus on health and wellness, ManipalCigna Health Insurance offers a full suite of insurance solutions ranging from health, personal accident, major illness, travel and global care to individual customers, employer-employee, and non-employer-employee groups to meet their diverse health needs.
Role : Manager / Senior Manager - Data Engineer
Job Purpose: As a Manager / Senior Manager - Data Engineer at Manipal Cigna, you will lead a team responsible for managing and maintaining the Data Lake and operational data store. Your role will involve enhancing the Business Intelligence Data Mart to enable fast, high-end analytics and reporting for internal and external stakeholders. You will ensure data consistency and quality in a hybrid system environment, driving impactful business intelligence and operational efficiency.
Key Responsibilities & Accountabilities:
1. Data Pipeline Maintenance: - Maintain data pipelines for various types of dumps, reports, and MIS. Ensure seamless operation and maintenance of ETL jobs for report generation and bursting.
2. Analytics Support: - Provide analytics support across all business journeys including new business, renewals, customer servicing, claims, sales, and distribution management.
3. Data Transition and Management : - Facilitate a smooth transition from SQL to Data Lake using Greenplum (Array of Postgres) DB. Ensure excellent support for various business requirements.
4. Service and Collaboration: - Ensure timely closure of service requests within TAT. Collaborate with other functional units to identify and leverage opportunities for analytical inputs to achieve business goals.
5. Data Integrity and Automation: - Enable data integrity, collation, and adherence to reporting standards. Automate Data Lake and ODS production activities.
6. Strategic Support: - Support strategic and other organizational initiatives through robust data management and analysis.
Qualification / Experience / Skills:
Bachelor’s or Master’s degree in computer science and information technology, or a related field
5+ years of experience in managing Data Warehouse, Data Lake, or ODS
Experience managing direct and vendor resources, as well as business stakeholders.
Strong analytical skills with hands-on experience in reporting and integration tools
Proficiency in developing robust business cases supported by data.
Excellent communication skills for effective stakeholder management.
Technical Exposure (Must Have): -
Databases: MSQL, Postgres (Query, Stored Procedures, Job Scheduling
ETL Tools: SSRS, SSIS, Pentaho (Data Cleansing, Data Transformation, Report Creation, Report Bursting)
Data Pipeline Setup
Query and Procedure Optimization
Creating a Scalable and Stable DB Ecosystem
Technical Skills (Good to Have): - Big Data, Spark, Kafka, PowerBI, Tableau

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