Senior AWS Engineer

Fractal Analytics Ltd.; Bengaluru; Presencial; INR 2.800.000 - 4.000.000; Jornada completa

Descripción de la vacante

Fractal Analytics Ltd. in Bengaluru seeks a Senior Data Engineer (AWS) to design, build, and optimize scalable data pipelines across ingestion, storage, and analytics layers. You will work with AWS Glue, Redshift, S3, and QuickSight to enable reliable, query-ready data for reporting and NLP-driven insights.

The role collaborates with data architects, DevOps, and business stakeholders to enforce data quality, governance, and operational excellence across the ADC platform.

Formación

• Hands-on experience with AWS data engineering services.
• Strong data modeling expertise.
• Understanding of distributed data processing patterns.

Responsabilidades

• Data Ingestion & Pipeline Engineering: build and support ingestion workflows with AWS Glue, Lambda, S3, EventBridge and Redshift Serverless.
• Data Warehousing & Modeling: implement and optimize Redshift data models and loading strategies.
• Data Governance & Quality: maintain metadata with Glue Data Catalog and ensure data quality checks.
• Analytics & NLP Enablement: enable NLP-based querying with QuickSight and secure data access.
• Monitoring & Operational Excellence: use CloudWatch and runbooks to improve pipeline reliability.

Conocimientos

AWS data engineering

Data modeling

Distributed processing

Pipeline optimization

Herramientas

AWS Glue

AWS Lambda

Amazon S3

Amazon Redshift

Amazon QuickSight

AWS Lake Formation

CloudWatch

Descripción del empleo

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business.

Role Overview

We are seeking a highly motivated Senior Data Engineer (AWS) to support the design, implementation, testing, and optimization of data ingestion, transformation, and analytics capabilities across the ADC platform. The role will focus on building reliable, scalable, and high-performance data pipelines leveraging AWS-native data services while ensuring data quality, governance, and operational excellence. The ideal candidate will possess hands‑on experience with AWS data engineering services, strong data modeling expertise, and a solid understanding of distributed data processing patterns. This role will work closely with data architects, senior engineers, DevOps teams, and business stakeholders to enable trusted, query‑ready data for reporting, analytics, and NLP‑driven insights.

Key Responsibilities

Data Ingestion & Pipeline Engineering

Develop, configure, and support data ingestion workflows using AWS Glue, Glue Crawlers, AWS Lambda, Amazon S3, Amazon EventBridge, and Amazon Redshift Serverless. Execute ingestion testing activities and validate data movement across raw, curated, and consumption layers. Monitor and support schema discovery, schema inference, and schema drift resolution processes. Troubleshoot and resolve data pipeline issues, event sequencing failures, and ingestion bottlenecks. Collaborate with senior engineers to maintain stable and reliable data flows across Development and UAT environments.

Data Warehousing & Modeling

Implement and maintain data models within Amazon Redshift to support reporting, analytics, and NLP-driven query capabilities. Optimize Redshift COPY operations, data loading strategies, partitioning, and performance tuning processes. Support normalization, transformation, and enrichment activities to improve data consistency and usability. Ensure datasets are query‑ready for downstream business intelligence and AI-driven consumption.

Data Governance & Quality

Maintain metadata integrity through AWS Glue Data Catalog and support governance processes using AWS Lake Formation. Implement and enhance data quality validation checks and reconciliation mechanisms. Ensure adherence to data governance, security, and access control standards. Monitor and improve data lineage, catalog accuracy, and data discoverability.

Analytics & NLP Enablement

Support implementation and configuration of Amazon QuickSight to enable self‑service analytics and NLP-based querying capabilities. Collaborate with Platform and DevOps teams on QuickSight setup, dataset modeling, security integration, and NLP feature enablement. Ensure analytics datasets are optimized for performance, accuracy, and business consumption.

Monitoring & Operational Excellence

Analyze application and pipeline behavior using Amazon CloudWatch Logs and monitoring tools. Support incident analysis, root cause investigations, and performance improvement initiatives. Contribute to operational documentation, runbooks, deployment procedures, and support guides. Promote reproducibility, automation, and engineering best practices across the data platform.

Mandatory: AWS

Mandatory: AWS

At Fractal, towards our goal of "powering every human decision in the enterprise", our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting‑edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end‑to‑end data‑to‑decision journey.