Data Engineering Architect at Hexagon R&D India in Pune, Maharashtra, India | Kablio

Role

Description

platform architecture

data governance

data pipelines

ai/ml adoption

ci/cd

generative ai

Lead architecture decisions for next-generation data platform
Shape data strategy and technical roadmap for the organization
Implement data governance, security, and compliance frameworks
Develop comprehensive data strategies integrating traditional databases with cloud data platforms
Implement RAG (Retrieval-Augmented Generation) architectures with vector databases
Drive adoption of emerging AI/ML technologies and best practices
Design and implement end-to-end data pipelines supporting batch and real-time processing
Integrate AI/ML capabilities into existing data workflows and applications
Architect scalable data solutions using modern cloud-native patterns and microservices
Design ML inference pipelines with proper monitoring, scaling, and cost optimization
Implement event-driven architectures using messaging systems and stream processing
Optimize data storage strategies across relational databases and cloud data warehouses
Monitor and optimize system performance, reliability, and cost efficiency
Build and maintain data integration connectors and APIs
Develop data transformation logic, ETL/ELT processes, and data quality frameworks
Write production-quality code in Java and Python for data processing and API development
Lead technical decision-making for data platform evolution and technology stack optimization
Build and deploy Generative AI features using AWS Bedrock foundation models
Establish CI/CD pipelines for data infrastructure and applications
Mentor and grow a team of talented data engineers

Requirements

python

aws

docker

kubernetes

sql server

7+ years

Excellent communication skills with ability to explain complex technical concepts
Collaborative mindset with cross-functional teams (product, data science, engineering)
Bachelor's degree in Computer Science, Engineering, or related technical field
GenAI-powered features enhancing user experiences and business insights
Relevant AWS certifications (Solutions Architect, Data Engineer) are a plus
Version control and CI/CD (Git, Jenkins, GitLab CI, BitBucket, etc. )
Real-time analytics systems supporting critical business decisions
Container technologies (Docker, Kubernetes, ECS/EKS)
Python: Strong proficiency in data processing libraries (Pandas, NumPy), API frameworks (FastAPI, Flask)
Background in building real-time analytics or ML-powered applications
Experience mentoring junior developers and leading technical initiatives
Workflow orchestration (Apache Airflow, AWS Step Functions, or similar)
Familiarity with monitoring and observability tools (CloudWatch, Datadog, ELK stack)
Experience with large-scale data processing (TB/PB scale datasets)
SQL Server: T-SQL, stored procedures, SSIS/ETL development, and performance tuning
7+ years in data engineering, software architecture, or related technical roles
Data processing frameworks (DBT, Apache Spark, Dask, or similar)
Scalable data pipelines processing millions of events daily
Experience with data mesh, data fabric, or modern data architecture patterns
Understanding of Quality Management Systems, data privacy regulations (GDPR, CCPA) and security best practices
Knowledge of DevOps practices and infrastructure-as-code methodologies
Master's degree preferred but not required with sufficient experience
3+ years of hands-on experience with AWS services in production environments
AWS Bedrock: Experience with foundation models, model fine-tuning, and inference endpoints
Experience with building reporting solutions that provides insights to the end users.
Proven ability to convert POCs into production-grade solutions.
Experience working with LLMs and building ML features for the users.
Java: 5+ years of experience with Spring Framework, microservices, and enterprise applications
Robust data infrastructure supporting multiple business units and use cases
Messaging & Streaming: SQS, SNS, Kinesis, and Apache Kafka
MySQL: Advanced SQL, query optimization, replication, and high-availability configurations
Strong analytical and problem-solving abilities with attention to detail

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

Hexagon R&D India is part of a global technology company specializing in innovative digital solutions.
The company focuses on advancing industries like energy, infrastructure, and transport, empowering clients to achieve operational efficiency.
It provides cutting-edge R&D services that blend software, hardware, and engineering technologies.
Hexagon R&D India has a legacy of delivering high-value solutions for complex industrial challenges, particularly in fields like water resources and marine.
The company creates smart city solutions and improves resource management in utilities, transport, and heavy civil sectors.
Hexagon R&D India plays a key role in enhancing the digital transformation of industries through research, development, and consulting services.

Culture + Values

Inspires employees for holistic and organic growth.
Values team collaboration, knowledge exchange, and retains motivated, creative individuals.
Encourages flat hierarchies, agile methods, open communication, new ideas, and constructive feedback.
Focuses on outcomes over strict schedules.
Social activities build strong team spirit, turning colleagues into lasting friends.

Environment + Sustainability

Inclusion & Diversity

35 Nationalities

Global Workforce Diversity

Showcases the company's commitment to a multicultural and inclusive workplace.

21% Women

Women in Leadership

Details the current percentage of women employees and ambitious future targets.

4.2/5 Rating

Employee Reviews on Glassdoor

Reflects positive employee sentiment towards the company's DEI efforts.

DEI initiatives include: 'Embracing Diversity Across Borders', 'Empowering Equality and Gender Diversity', 'Championing Inclusion for Persons with Disabilities'
Employee-resource initiatives: Working Parents ERG; Begin.Again return-to-work for women in tech; HxGN Unite; ONE People; HxGN WILL; Cafe Connects; Reverse Mentorship Program

Articles

Hexagon R&D India - Overview

Hexagon Careers

LinkedIn - Hexagon R&D India

Role

Description

platform architecture

data governance

data pipelines

ai/ml adoption

ci/cd

generative ai

Lead architecture decisions for next-generation data platform
Shape data strategy and technical roadmap for the organization
Implement data governance, security, and compliance frameworks
Develop comprehensive data strategies integrating traditional databases with cloud data platforms
Implement RAG (Retrieval-Augmented Generation) architectures with vector databases
Drive adoption of emerging AI/ML technologies and best practices
Design and implement end-to-end data pipelines supporting batch and real-time processing
Integrate AI/ML capabilities into existing data workflows and applications
Architect scalable data solutions using modern cloud-native patterns and microservices
Design ML inference pipelines with proper monitoring, scaling, and cost optimization
Implement event-driven architectures using messaging systems and stream processing
Optimize data storage strategies across relational databases and cloud data warehouses
Monitor and optimize system performance, reliability, and cost efficiency
Build and maintain data integration connectors and APIs
Develop data transformation logic, ETL/ELT processes, and data quality frameworks
Write production-quality code in Java and Python for data processing and API development
Lead technical decision-making for data platform evolution and technology stack optimization
Build and deploy Generative AI features using AWS Bedrock foundation models
Establish CI/CD pipelines for data infrastructure and applications
Mentor and grow a team of talented data engineers

Requirements

python

aws

docker

kubernetes

sql server

7+ years

Excellent communication skills with ability to explain complex technical concepts
Collaborative mindset with cross-functional teams (product, data science, engineering)
Bachelor's degree in Computer Science, Engineering, or related technical field
GenAI-powered features enhancing user experiences and business insights
Relevant AWS certifications (Solutions Architect, Data Engineer) are a plus
Version control and CI/CD (Git, Jenkins, GitLab CI, BitBucket, etc. )
Real-time analytics systems supporting critical business decisions
Container technologies (Docker, Kubernetes, ECS/EKS)
Python: Strong proficiency in data processing libraries (Pandas, NumPy), API frameworks (FastAPI, Flask)
Background in building real-time analytics or ML-powered applications
Experience mentoring junior developers and leading technical initiatives
Workflow orchestration (Apache Airflow, AWS Step Functions, or similar)
Familiarity with monitoring and observability tools (CloudWatch, Datadog, ELK stack)
Experience with large-scale data processing (TB/PB scale datasets)
SQL Server: T-SQL, stored procedures, SSIS/ETL development, and performance tuning
7+ years in data engineering, software architecture, or related technical roles
Data processing frameworks (DBT, Apache Spark, Dask, or similar)
Scalable data pipelines processing millions of events daily
Experience with data mesh, data fabric, or modern data architecture patterns
Understanding of Quality Management Systems, data privacy regulations (GDPR, CCPA) and security best practices
Knowledge of DevOps practices and infrastructure-as-code methodologies
Master's degree preferred but not required with sufficient experience
3+ years of hands-on experience with AWS services in production environments
AWS Bedrock: Experience with foundation models, model fine-tuning, and inference endpoints
Experience with building reporting solutions that provides insights to the end users.
Proven ability to convert POCs into production-grade solutions.
Experience working with LLMs and building ML features for the users.
Java: 5+ years of experience with Spring Framework, microservices, and enterprise applications
Robust data infrastructure supporting multiple business units and use cases
Messaging & Streaming: SQS, SNS, Kinesis, and Apache Kafka
MySQL: Advanced SQL, query optimization, replication, and high-availability configurations
Strong analytical and problem-solving abilities with attention to detail

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found