Role: AWS Data Engineer

Responsibilities

Design develop and optimize largescale data processing pipelines using Apache Spark

Build and maintain ETLELT workflows using AWS Glue Amazon S3 and Amazon Athena

Orchestrate endtoend data pipelines and processing workflows using AWS Step Functions

Develop ingestion frameworks to handle multivendor data schemas including Ericsson and Oracle datasets

Standardize transform map and integrate heterogeneous vendor data into common data models

Implement data validation reconciliation error handling and dataquality controls across ingestion pipelines

Optimize Spark jobs Glue workloads storage structures queries and underlying datastore performance

Monitor pipeline execution troubleshoot failures perform rootcause analysis RCA and improve processing reliability

Support schema evolution metadata management partitioning and performance optimization for large datasets

Collaborate with architecture platform analytics and downstream application teams to ensure scalable and reliable data delivery

Mandatory Skills : AWS Glue

📌 Senior Specialist - Data Engineering (Bengaluru)
🏢 LTM
📍 Bengaluru