Walk-in || Aws Data Engineer

Mployee.me; Pune District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Mployee.me is seeking an experienced AWS Data Engineer for Pune with 8+ years in data engineering and related domains. The role focuses on designing data platforms, pipelines, and data products using AWS services, Spark, and ETL/ELT architectures. Immediate joiner required for a face-to-face engagement at the Pune site.

The candidate will lead technical initiatives, collaborate in an agile environment, and drive data quality, lineage, and governance across complex data flows.

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 Services

Python PySpark

ETL ELT patterns

Data Modeling

SQL Mastery

Data Quality

Tools

AWS Glue

Amazon MSK

Kinesis

Lambda

EMR

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.