Us And Help Shape The

AIDataEngineer

₹15–25L ~AI est. Hyderabad, Telangana, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

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

The Brief

“AI Data Engineer at Us And Help Shape The. Skills: Data Engineering, AI/ML, Customer Data Platform, Snowflake, AWS. Own and manage projects. Meet deadlines”

Industry & Context.

Problems you'll solve

Solving complex challenges; Ambiguous challenges

Eligibility Requirements

Work from office 2-3 days, Shift timings 2 PM to 11 PM IST

What They're Looking For.

Must Have

4 to 6 years of experience, Data Engineering background, Solid foundation in SQL, Programming skills in Python, Experience with AI/ML frameworks, Expertise in using SQL/Presto, Experience in working in iterative development, Solid grasp of agile practices

Nice to Have

Master's degree, Experience with customer data platform, Experience with Salesforce, Experience with Eloqua, Exposure to Gen AI

What You'll Do.

Own and manage projects

Communicate progress and barriers

Serve as Subject Matter Expert

Maintain awareness of industry trends

Design and implement data ingestion pipelines

Collect and ingest customer data

Set up data pipelines

Create and design data models

Create and design schemas

Create and design database structures

Carry out data analysis

Ensure launch of new data capabilities

Ensure launch of segmentation capabilities

Ensure launch of profile capabilities

Ensure evolutions of the platform

Monitor platform evolutions

Collaborate with marketers

Collaborate with stakeholders

Understand data needs

Translate needs into technical requirements

Identify innovations in data practices

Propose innovations in data practices

Improve standardization

Better support stakeholders

How You'll Work.

Team & Collaboration

Stakeholders; Marketers; Other stakeholders

Communication Scope

Oral communication; Written communication; Visual communication; Breaking down complex information; Telling stories with data; Translating technical concepts

Process & Methodology

Agile practices

Full Job Description

We are looking for an AI Data Engineer to design and develop our data transformation initiatives as we build the data foundation to drive our marketing strategy to enhance our internal and external customer experiences and personalization. We are seeking an AI Data Engineer driven by a passion for analyzing and devising solutions, someone who thrives on starting from the customer's perspective and excels at solving complex, ambiguous challenges. This is a mission-critical role with substantial scope, complexity, executive visibility, and has a large opportunity for impact.​ If you are passionate about creating a seamless customer experience and being hands-on Data & AI enabled solution development, this is the role for you! **About the Role** In this role as an AI Data Engineer, you will: * Independently own and manage assigned projects and meet deadlines, clearly communicating progress and barriers to manager and stakeholders. * Serve as a visible Subject Matter Expert on our Customer Data Platform, maintaining up-to-date awareness of industry trends, cutting-edge technologies, and best practices on relevant topics including unified customer profiles, deterministic and probabilistic matching, identity graphs, data enrichment, etc. * Design and implement data ingestion pipelines to collect and ingest customer data into the Customer Data Platform from various sources. This involves setting up data pipelines, APIs, and ETL (Extract, Transform, Load) processes. * Create and design data models, schemas, and database structures in Snowflake. * Carry out comprehensive data analysis from various system sources to yield enhanced insights into customer behavior and preferences. * Ensure the launch of new data, segmentation, and profile capabilities, as well as the evolutions of the platform, go smoothly. This includes testing and post-launch monitoring. * Collaborate with marketers and other stakeholders to understand their data needs and translate those needs into technical

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