Data Engineer I, CMT

Amazon; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

ADCI - BLR - DTA in Bengaluru is seeking a Data Engineer I to design and maintain modern data infrastructure. You will enable real-time processing for AI/ML workloads, build scalable data access, and support automated workflows with robust governance.

You will work with AWS services and data platforms, delivering reliable data products with clear SLAs and smart data contracts. A strong foundation in SQL, data warehousing, and ETL is required.

Qualifications

• 1+ years of data engineering experience.
• Experience with SQL.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala).
• Experience with one or more scripting languages (e.g., Python, KornShell).
• Bachelor's degree.

Responsibilities

• Engineer modern data infrastructure supporting real-time data processing for AI/ML inference and training workloads.
• Build semantic layers enabling intelligent query routing and context-aware data access.
• Develop infrastructure for AI-powered automated workflows and orchestration.
• Implement AI-driven data quality, entity resolution, and metadata management solutions.
• Own end-to-end accountability for data products from ingestion to consumption.
• Deliver data products with clear SLAs, quality metrics, and customer satisfaction measures.
• Build self-service platforms with embedded governance, lineage, and discovery capabilities.
• Establish data contracts and APIs for reliable, versioned data consumption.
• Manage AWS resources including EC2, Lambda, S3, Redshift, and EMR.
• Build high-quality data pipelines supporting analysts, data scientists, and downstream consumers.
• Implement CDC and event-driven architectures for real-time data availability.
• Deploy infrastructure-as-code using CDK.

Skills

Data engineering

SQL

Data modeling

ETL pipelines

Query languages

Python

Bachelor's degree

Education

Bachelor's degree

Tools

Hadoop

Hive

Spark

EMR

Informatica

Job description

Description

The Data Engineer I role within the Data Platform and Analytics team is a foundational technical position responsible for building and maintaining modern data infrastructure that powers business intelligence and advanced analytics at scale. This role focuses on engineering real-time data processing systems for AI/ML workloads, delivering data-as-a-product with clear SLAs, and managing AWS-native pipeline architectures. Working at the intersection of data engineering and AI systems, the Data Engineer I creates reliable, scalable infrastructure that enables intelligent data access, automated workflows, and advanced analytics — driving actionable insights for business stakeholders.

Key job responsibilities

Modern Data Infrastructure & Real-Time Processing

• Engineer modern data infrastructure supporting real-time data processing for AI/ML inference and training workloads
• Build semantic layers enabling intelligent query routing and context-aware data access
• Develop infrastructure for AI-powered automated workflows and orchestration
• Implement AI-driven data quality, entity resolution, and metadata management solutions

Data-as-a-Product Delivery

• Own end-to-end accountability for data products from ingestion to consumption
• Deliver data products with clear SLAs, quality metrics, and customer satisfaction measures
• Build self-service platforms with embedded governance, lineage, and discovery capabilities
• Establish data contracts and APIs for reliable, versioned data consumption

AWS Infrastructure & Pipeline Engineering

• Manage AWS resources including EC2, Lambda, S3, Redshift, and EMR
• Build high-quality data pipelines supporting analysts, data scientists, and downstream consumers
• Implement CDC and event-driven architectures for real-time data availability
• Deploy infrastructure-as-code using CDK

Basic Qualifications

• 1+ years of data engineering experience
• Experience with SQL
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Experience with one or more scripting language (e.g., Python, KornShell)
• Bachelor's degree

Preferred Qualifications

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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Company

- ADCI - BLR - DTA

Job ID: A10499657