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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