ADCI

Data Science, Data Engineering, consumerpayments

DataEngineer

₹15–25L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Engineer at ADCI. Skills: Data engineering, Data integration, Data modeling. Implement data ingestion routines. Design data for analysis”

Industry & Context.

Data Science, Data Engineering, consumerpayments

What They're Looking For.

Must Have

3+ years of data engineering experience, 4+ years of SQL experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Bachelor's degree

Nice to Have

Experience with AWS technologies, Experience with non-relational databases

What You'll Do.

Implement data ingestion routines

Design data for analysis

Implement data for analysis

Operate data for analysis

Gather business requirements

Translate requirements into solutions

Collaborate with engineers

Collaborate with scientists

Help improve reporting processes

Automate reporting processes

Simplify self-service modeling

Simplify production support

How You'll Work.

Team & Collaboration

Diverse teams

Communication Scope

Written communication; Verbal communication

Full Job Description

Amazon Payment Products team creates and manages a global portfolio of products, including co-branded credit cards, installment financing, third party redemptions, and financial services marketplaces. Within this team, we are looking for a Data Engineer (DE) to play a significant role in building large-scale, high-volume, high-performance data integration and delivery services. These data solutions would be primarily used in periodic reporting, and drive business decision making while dealing efficiently with the massive scale of data available through our Data Warehouse as well as our software systems. You will be responsible for designing and implementing solutions using third-party and in-house reporting tools, modeling metadata, building reports and dashboards, and administering the platform software. You are expected to build efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. You are required to support and manage growth of these data solutions. You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems. You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams. Key job responsibilities *Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools. *Design, implement and operate large-scale, high-volume, high-performance data for analysis and data science. *Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. *Collaborate with engineers/scientists to help adopt best practices in data system creation, data integrity, test design, analy

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