Data Engineer, IN Data Engineering & Analytics [Data Engineer - AI-Native Data Platform]

Amazon Dev Center India

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📍 LocationBangalore

💼 Job TypeFull-Time

⏱ Experience3+ years of Data Engineering or related specialty experience

🎓 Qualification Professional background in data modeling, warehousing, and scripting languages

💰 Salary Competitive Corporate AWS Data Engineering Scale

🛠 Skills Data Infrastructure Design, AI-Native Data Engineering, Advanced SQL Querying (Redshift/Spark), ETL/ELT Pipeline Development, Python-Based Automation, Data Warehouse Modeling, AWS Big Data Stack (S3, Glue, EMR, Kinesis, Lambda), Big Data Processing (Hadoop, Hive, Spark), Non-Relational Data Stores, Business Process Automation

Job Description

Amazon Dev Center India (ADCI) is looking to hire a Data Engineer, IN Data Engineering & Analytics in Bengaluru, Karnataka . This role involves designing and operating core data warehouse architectures to support e-commerce analytics, including building ETL pipelines and optimizing data processing using Python and SQL .

Key Responsibilities & Scope of Work

Design and scale data warehouse architectures .
Develop AI-native data solutions and automated pipelines .
Build ETL processes using Redshift SQL and Spark SQL .
Optimize data flows with Python scripting .
Enable business decisions through automated dashboards and reports .

Required Qualifications & Technical Stack

3+ years of professional experience in Data/Software/BI Engineering .
Expertise in SQL, data modeling, and coding in Python, Java, Scala, or NodeJS .
Experience with AWS technologies (Redshift, S3, Glue, EMR) .
Knowledge of big data frameworks (Hadoop, Spark) .

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