Walk-in | Aws Data Engineer

Hexaware Technologies Limited; Pune District; Hybrid; INR 2,500,000 - 4,500,000; Full time

Job summary

Hexaware Technologies Limited is seeking a seasoned AWS Data Engineer to join our Pune team on-site. The role requires 6–12 years of experience in data engineering, software engineering, or enterprise data platforms, with a strong focus on AWS services and real-time data processing.

Immediate joiner is preferred and project leadership is expected. Candidate should excel in AWS Glue, Lambda, EMR, Kinesis, and RESTful data services, with hands-on Python/PySpark development and advanced SQL.

Qualifications

• 8+ years of experience in data engineering, software engineering, or enterprise data platform development.
• 3+ years of technical leadership experience leading engineering teams or large-scale data initiatives.
• Proven experience designing and delivering enterprise data platforms, pipelines, and data products.
• Experience operating within agile software development environments.

Skills

AWS

Data engineering

Python

PySpark

SQL

ETL/ELT

Data modeling

REST APIs

GraphQL

Microservices

Data quality

Data lineage

Tools

Aurora

Amazon S3

AWS Glue

AWS DMS

MSK

Kinesis

API Gateway

Lambda

EMR

Data Lake

Job description

JD:

Skill : AWS Data Engineer

Exp : 6-12ys

Loc: Pune F2F

Date : 14th Nov-2026

NP : Immediate joiner only

Technical Skills

• Experience with AWS services such as
• oAurora (MySQL, PostgreSQL), Amazon S3 (Data Lake), AWS Glue, AWS DMS
• oAmazon MSK (Kafka), Kinesis Data Streams, Kinesis Firehose, API Gateway
• oLambda, AWS Glue ETL, EMR, Partitioning, Data Skew Handling, Incremental Loading
• Advanced SQL and data modeling expertise.
• Strong Python and PySpark development experience.
• Deep understanding of ETL and ELT architecture patterns.
• Experience implementing Master Data Management solutions.
• Experience building RESTful APIs and data services.
• Familiarity with GraphQL and modern integration approaches.
• Understanding of microservices-based architectures.
• Experience implementing event-driven and real-time data processing solutions.
• Strong understanding of data quality frameworks, metadata management, and data lineage concepts.

Experience

• 8+ years of experience in data engineering, software engineering, or enterprise data platform development.
• 3+ years of technical leadership experience leading engineering teams or large-scale data initiatives.
• Proven experience designing and delivering enterprise data platforms, pipelines, and data products.
• Experience operating within agile software development environments.