Posted 6 months ago

AWS Data Specialist - R01558578

PuneRemoteFull-time

AI Summary

Data Product Engineer focused on building, delivering, and supporting data-driven products for operational and analytical use cases, with cloud-native platforms and strong software engineering practices.

About this role

Lead Data Engineer

Primary Skills

Job Title: Data Product Engineer

Experience: 5+ Years
Location: India (Hybrid / Remote as applicable)

Job Summary

We are looking for an experienced Data Product Engineer with a strong background in building, delivering, and supporting data-driven products for both operational and analytical use cases. The ideal candidate will combine product thinking with deep data engineering expertise to transform raw data into scalable, secure, and production-ready data products that integrate seamlessly into modern digital ecosystems.

This role requires close collaboration with business stakeholders, strong software engineering practices, and a solid understanding of cloud-native data platforms.

Key Responsibilities

Collaborate with cross-functional teams to design, build, maintain, and monitor high-quality Data Products that meet diverse customer and business requirements.

Act as a subject matter expert (SME) by bridging technical and business perspectives to deliver meaningful, data-driven solutions.

Manage the end-to-end data lifecycle, including data ingestion, transformation, storage, and provisioning for downstream consumers.

Apply software engineering best practices—CI/CD, Git-based version control, Test-Driven Development (TDD), Definition of Done (DoD), and Agile methodologies—to data engineering workflows.

Ensure data security, governance, and compliance standards are met across all data products.

Develop and maintain clear documentation, promote knowledge sharing, and support onboarding for data products and platforms.

Monitor data pipelines and products for reliability, performance, scalability, and cost efficiency.

Integrate data products into broader digital and application ecosystems, supporting both real-time and batch use cases.

Actively contribute to continuous improvement of data architecture, tooling, and processes.

Technical Skillset

Data Engineering & Analytics

Data pipelines, ETL / ELT processes

Data modeling and analytics

Data exploration and visualization

Cloud Platforms

AWS (strong hands-on experience):

S3, Redshift, Athena, Lambda, Glue

CodePipeline, CloudFormation

SNS

Working knowledge of: Microsoft Azure and Google Cloud Platform (GCP)

Data Tools & Frameworks

SSIS

Databricks

Spark

SQL

Python

R, Scala (good to have)

Databases

SQL Server

DynamoDB

ArangoDB

Data Formats

JSON, XML

Parquet, CSV

Visualization & Exploration Tools

Amazon QuickSight

Tableau

Microsoft Excel

Collaboration & Documentation

Miro

Confluence

Core Competencies

Strong product mindset with a customer-centric approach to data solutions

Excellent planning, communication, and organizational skills

Proficiency with Git / GitHub and version control best practices

Experience with CLI scripting (Bash, PowerShell, AWS CLI)

Agile mindset with exposure to Test-Driven Development (TDD)

Familiarity with modern data management concepts, including Data Mesh and Event-Driven / Streaming architectures

Specialization