FBS Data Analytics Engineer

Capgemini; Pune District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary and bonuses

Comprehensive benefits package

Career development opportunities

Flexible work arrangements

Private Health Insurance

Pension Plan

Paid Time Off

Training & Development

Job summary

A global technology leader is seeking an FBS Analytics Engineer in Pune, India. The role involves utilizing Python, SQL, and PySpark to solve business data challenges. Candidates should have a minimum of 6 years of experience in data engineering and related areas. Apart from competitive compensation, the position offers flexible work arrangements, private health insurance, and career development opportunities. Join a diverse, dynamic team committed to delivering innovative analytics solutions.

Qualifications

• 6+ years of total work experience.
• Intermediate experience in Data Engineering and related fields.
• Strong skills in Python and SQL (Snowflake).
• Experience with PySpark and AWS is a plus.

Responsibilities

• Utilize Python, SQL, and PySpark to solve business challenges.
• Support business teams with data needs.
• Become the SME on source systems and data products.
• Maintain and refresh existing data assets.

Skills

Python

SQL

PySpark

Data Engineering

Data Quality & Data Management

ETL

Data Warehousing

AWS

Job description

Join Capgemini as an FBS Analytics Engineer and be part of our dynamic team dedicated to delivering cutting-edge analytics solutions for our clients. Our Client is one of the largest insurers in the United States, providing a broad spectrum of insurance and financial services.

As part of Analytics Engineering team we work with different business teams to help with Data Engineering, Architecture & Solutioning. Helping build complex data products, data assets to support the organizations D&A needs.

Key Responsibilities

• Using strong Python, SQL, PySpark and cloud technical skills to solve the business challenges related to data & data products
• Work with different business teams, IT to help business team get the required data to support their needs
• Become an SME on the different source systems, data products and help different business users with their data needs
• Support existing data assets and products by refreshing the data

Requirements

Total Work Experience : 6yrs and above

• Data Engineering - Intermediate
• Data Quality & Data Management - Intermediate
• ETL - Advanced
• Data Warehousing & Data Lake - Advanced
• Python - Intermediate (4-6 Years)
• SQL - Snowflake - Intermediate (4-6 Years)
• PySpark - Intermediate (4-6 Years)
• AWS (Lambda, EMR, Step Function) - Entry Level (1-3 Years)
• ETL - Intermediate (4-6 Years)

Benefits

Competitive compensation and benefits package:

• Competitive salary and performance-based bonuses
• Comprehensive benefits package
• Career development and training opportunities
• Flexible work arrangements (remote and/or office-based)
• Dynamic and inclusive work culture within a globally renowned group
• Private Health Insurance
• Pension Plan
• Paid Time Off
• Training & Development

Note: Benefits differ based on employee level.

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.

https://www.capgemini.com/us-en/about-us/who-we-are/