ADCI

Data Science, Data Engineering, selling partner services

DataEngineerII

₹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 II at ADCI. Skills: Data engineering, ETL/ELT, Data modeling, AWS. Design automated ETL/ELT pipelines. Develop automated ETL/ELT pipelines”

Industry & Context.

Data Science, Data Engineering, selling partner services
Problems you'll solve

Solve technical challenges

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, 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes

Nice to Have

Experience with AWS technologies, Experience with non-relational databases / data stores

What You'll Do.

Design automated ETL/ELT pipelines

Develop automated ETL/ELT pipelines

Maintain automated ETL/ELT pipelines

Monitor ETL/ELT pipelines

Optimize data warehouse architectures

Optimize data lake architectures

Implement reporting infrastructure

Support reporting infrastructure

Implement analytics infrastructure

Support analytics infrastructure

Develop optimized data models

Develop data transformations

Develop enterprise-scale data security solutions

Maintain data warehouse metadata

Maintain data lake metadata

Maintain data catalog

Maintain user documentation

Collaborate to gather requirements

Collaborate to document requirements

Collaborate to implement requirements

Stay current with emerging technologies

Evaluate emerging technologies

Incorporate emerging technologies

How You'll Work.

Team & Collaboration

Internal business customers; Technical teams

Full Job Description

Are you a data engineer eager to make a meaningful impact while developing your technical skills? Join the Seller Fees Tech organization at Amazon and contribute to critical systems that enable millions of entrepreneurs worldwide to build successful businesses on our platform. As a Data Engineer, you'll architect and implement the data pipelines, analytics frameworks, and reporting systems that power critical operations across Amazon's global marketplaces. Your work will enable data-driven decision making for fee structures, incentive programs, and adjustments. You will build scalable data solutions that process billions of transactions while maintaining high data quality and governance standards. In this role, you'll leverage your expertise to transform complex financial data into actionable insights that drive marketplace expansion strategies. You'll have the opportunity to pioneer GenAI-powered data solutions that improve analytics efficiency and uncover hidden patterns in the data. Working at the intersection of big data technologies, financial systems, and marketplace economics, you'll solve technical challenges that require both deep data engineering expertise and strong business acumen. The Seller Fees Tech organization supports over 2MM+ active sellers by ensuring accurate, transparent fee calculations. Your data solutions will provide the analytical foundation for financial decisions that affect seller profitability and marketplace growth worldwide. Key job responsibilities 1. Design, develop, and maintain automated ETL/ELT pipelines with monitoring using Python, Spark, SQL, and AWS services such as Redshift, S3, Glue, Lambda 2. Optimize data warehouse and data lake architectures using best practices for DDL, physical and logical table design, data partitioning, compression, and parallelization 3. Implement and support reporting and analytics infrastructure for internal business customers 4. Develop optimized data models and transformations to ensure high-q

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