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Senior Implementation Analyst

Position Overview: We are seeking a hands-on Data Engineering Architect to design and build scalable data pipelines, implement cutting-edge Generative AI features, and architect robust data solutions. This role requires a technical leader who can translate business requirements into sophisticated data architectures while actively contributing to code development and system implementation. Roles & Responsibilities: Architecture & Design: - Design and implement end-to-end data pipelines supporting batch and real-time processing - Architect scalable data solutions using modern cloud-native patterns and microservices - Develop comprehensive data strategies integrating traditional databases with cloud data platforms - Lead technical decision-making for data platform evolution and technology stack optimization Generative AI & Machine Learning: - Build and deploy Generative AI features using AWS Bedrock foundation models - Implement RAG (Retrieval-Augmented Generation) architectures with vector databases - Design ML inference pipelines with proper monitoring, scaling, and cost optimization - Integrate AI/ML capabilities into existing data workflows and applications Hands-On Development: - Write production-quality code in Java and Python for data processing and API development - Develop data transformation logic, ETL/ELT processes, and data quality frameworks - Implement event-driven architectures using messaging systems and stream processing - Build and maintain data integration connectors and APIs Data Platform Management: - Optimize data storage strategies across relational databases and cloud data warehouses - Implement data governance, security, and compliance frameworks - Monitor and optimize system performance, reliability, and cost efficiency - Establish CI/CD pipelines for data infrastructure and applications Required Technical Skills: Programming Languages: Java: 5+ years of experience with Spring Framework, microservices, and enterprise applications Python: Strong proficiency in data processing libraries (Pandas, NumPy), API frameworks (FastAPI, Flask) Cloud & AWS Services: - AWS Bedrock: Experience with foundation models, model fine-tuning, and inference endpoints - Core AWS Services: S3, EC2, Lambda, IAM, VPC, CloudFormation/CDK - Messaging & Streaming: SQS, SNS, Kinesis, and Apache Kafka - Search & Analytics: OpenSearch/Elasticsearch for full-text search and analytics Database Technologies: Snowflake: Data warehouse design, performance optimization, and integration patterns MySQL: Advanced SQL, query optimization, replication, and high-availability configurations SQL Server: T-SQL, stored procedures, SSIS/ETL development, and performance tuning Data Engineering Tools: - Workflow orchestration (Apache Airflow, AWS Step Functions, or similar) - Data processing frameworks (DBT, Apache Spark, Dask, or similar) - Container technologies (Docker, Kubernetes, ECS/EKS) - Version control and CI/CD (Git, Jenkins, GitLab CI, BitBucket, etc. ) Education / Qualifications: Experience & Background: - 7+ years in data engineering, software architecture, or related technical roles - 3+ years of hands-on experience with AWS services in production environments - Experience with large-scale data processing (TB/PB scale datasets) - Background in building real-time analytics or ML-powered applications Domain Knowledge: - Experience with building reporting solutions that provides insights to the end users. - Experience working with LLM's and building ML features for the users. - Understanding of Quality Management Systems, data privacy regulations (GDPR, CCPA) and security best practices - Experience with data mesh, data fabric, or modern data architecture patterns - Knowledge of DevOps practices and infrastructure-as-code methodologies - Familiarity with monitoring and observability tools (CloudWatch, Datadog, ELK stack) Soft Skills: - Strong analytical and problem-solving abilities with attention to detail - Excellent communication skills with ability to explain complex technical concepts - Experience mentoring junior developers and leading technical initiatives - Collaborative mindset with cross-functional teams (product, data science, engineering) - Proven ability to convert POCs into production-grade solutions. Education Requirements: - Bachelor's degree in Computer Science, Engineering, or related technical field - Master's degree preferred but not required with sufficient experience - Relevant AWS certifications (Solutions Architect, Data Engineer) are a plus What You'll Build? - Scalable data pipelines processing millions of events daily - GenAI-powered features enhancing user experiences and business insights - Real-time analytics systems supporting critical business decisions - Robust data infrastructure supporting multiple business units and use cases Growth Opportunities: - Lead architecture decisions for next-generation data platform - Drive adoption of emerging AI/ML technologies and best practices - Mentor and grow a team of talented data engineers - Shape data strategy and technical roadmap for the organization

Pune

Hexagon - Data Engineering Architect 

Job Description for Hexagon - Data Engineering Architect  in Hexagon Capability Center India Pvt. Ltd. in  Pune for (7-10) years of experience. Apply Now!

Hexagon - Data Engineering Architect  | iimjobs.com