Capgemini

Insurance

FBSDataEngineer

₹12–18L ~AI est. Pune, Maharashtra, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“FBS Data Engineer at Capgemini. Skills: Data engineering, Data pipelines, Cloud data. Acquire data. Curate data”

Industry & Context.

Insurance
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

04 to 06 years total experience, 04 to 06 years relevant experience, Intermediate ETL pipelines, Intermediate Agile team developer role familiarity

Nice to Have

4-6 Years AWS DBT Intermediate, 4-6 Years AWS S3 Intermediate, 4-6 Years AWS GLUE Intermediate, 4-6 Years AWS Lambda Intermediate, 4-6 Years Snowflake Intermediate

What You'll Do.

Translate business requests

Develop data products

Implement data products

Practice code management

Integrate with guidelines

Produce data building blocks

Create business user access methods

Map data to common model

Validate data content

Break down technical stories

Estimate work for sprints

Develop data pipelines

Maintain data pipelines

Build API integrations

Optimize data for reporting

Apply data governance concepts

Execute mid-size projects

Develop data project plans

Execute data project plans

How You'll Work.

Team & Collaboration

Agile team developer role

Process & Methodology

Agile

Full Job Description

1. Responsible for acquiring, curating, and publishing data both on prem and in the cloud for analytical or operational uses for basic to moderate scenarios. 2. Ensures the data is in a ready-to-use form that creates a single version of the truth across all data consumers, including business/technology users, reporting and visualization specialists and data scientists with coaching and support. 3. Utilizes skills to translate business analytic requests/requirements into design, development, testing, deployment, and production maintenance tasks. 4. Works with various technologies from big data, relational and non-relational databases, cloud environments, different programming languages and various reporting tools and is familiar with a few but requires training for some Essential Job Functions 1. Consults on data projects of intermediate complexity, with limited coaching and guidance, to understand design requirement and existing business processes to lead in the design, development, and implementation of data products. 2. Practices code management and integration with current architectural and data governance guidelines with reduced oversight required of leadership. 3. Produces data building blocks, data models, and data flows for varying client requests such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research and exploration with limited assistance and coaching. 4. Creates business user access methods to structured and unstructured data. Utilizes techniques such as mapping data to a common data model, natural language processing, transforming data as necessary to satisfy business rules, AI, statistical computations, and validation of data content. 5. Translates business data stories into a technical story breakdown structure and work estimates for a schedule or planned agile sprint. 6. Projects are of increasing complexity but require less coaching and assistance from leadership. Develops and maintains mode

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