Senior Data Engineer

1 Month ago • 5 Years + • Data Analyst • ₹30,00,000 LPA - ₹38,00,000 LPA

Job Summary

Job Description

This Senior Data Engineer role involves partnering with insurance companies to understand their data landscape and develop data-driven strategies. Responsibilities include designing and implementing data solutions using technologies like MySQL, MongoDB, and Amazon S3; ensuring data quality, security, and scalability; developing and maintaining data pipelines; developing and executing data models; and communicating findings through visualizations and reports. The ideal candidate will have 5+ years of experience in data consulting, with a focus on the insurance industry, strong analytical skills, proficiency in SQL, and experience with cloud-based data storage solutions. Excellent communication and presentation skills are essential. This is a remote, full-time position with a flexible schedule.
Must have:
  • 5+ years data consulting experience
  • Insurance industry experience a plus
  • Proficiency in SQL (MySQL, PostgreSQL)
  • Cloud data storage (Amazon S3)
  • Data modeling & statistical analysis
  • Excellent communication skills
Good to have:
  • Data warehousing experience
  • Experience with MongoDB

Job Details

Description

We are looking for a Data Engineer, for our esteemed client.

Client Strategy & Consulting:

Partner with insurance companies to understand their specific business challenges and data landscape.

Develop data-driven strategies to improve operational efficiency, risk management, underwriting, claims processing, and customer experience.

Translate complex data concepts into clear and concise language for business stakeholders.

Data Architecture & Implementation:

Design and implement data solutions using technologies like MySQL, MongoDB, and Amazon S3.

Ensure data quality, security, and scalability throughout the data lifecycle.

Develop and maintain data pipelines to automate data collection, transformation, and analysis.

Advanced Analytics & Insights:

Develop and execute data models and analytical techniques to extract valuable insights from client data.

Identify trends, patterns, and correlations to inform data-driven decision making.

Communicate findings effectively through compelling visualizations and reports.

Teamwork & Communication:

Collaborate effectively with internal teams (data scientists, engineers) and external stakeholders (executive teams, business users) to deliver successful projects.

Provide ongoing support and guidance to clients to ensure they maximize the value of their data investment.

Requirements

Minimum 5+ years of experience in data consulting or a related field, with a focus on the insurance industry a plus.

Proven track record of successfully delivering data-driven solutions for insurance companies.

Strong analytical skills with experience in data modeling, statistical analysis, and data mining techniques.

Proficiency in SQL querying languages (MySQL, PostgreSQL).

Experience with cloud-based data storage solutions (e.g., Amazon S3).

Experience with data warehousing concepts and technologies (optional, a plus).

Excellent communication and presentation skills, with the ability to tailor content to diverse audiences.

Ability to work independently and as part of a team in a fast-paced environment.

Location : Remote
Shift Timing : 5:30 Pm To 3:00 Am ( 4-5 Hrs Overlapping )
Budget : 30 - 38 LPA

Benefits

CloudHire is a leading remote employee provider that sources top global talent for businesses of all sizes. We are committed to finding the best candidates who align with our clients' mission and values. Our inclusive and flexible work environment allows our team members to achieve a healthy work-life balance and excel in their roles.

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