11+ Metrics management Jobs in Bangalore (Bengaluru) | Metrics management Job openings in Bangalore (Bengaluru)

Responsibilities

• Work with large and complex blockchain data sets and derive investment relevant metrics in close partnership with financial analysts and blockchain engineers.
• Apply knowledge of statistics, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to the development of fundamental metrics needed to evaluate various crypto assets.
• Build a strong understanding of existing metrics used to value various decentralized applications and protocols.
• Build customer facing metrics and dashboards.
• Work closely with analysts, engineers, Product Managers and provide feedback as we develop our data analytics and research platform.

Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience (or) degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science)
• 3+ years experience with data analysis and metrics development
• 3+ years experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
• 2+ years experience writing SQL queries
• 2+ years experience scripting in Python
• Demonstrated curiosity in and excitement for Web3/blockchain technologies

AWS Cloud Infrastructure & Snowflake Platform Engineer

Experience: 5+ Years

Employment: Direct Employment with Haparz

Location: Bangalore

About the Role

We are seeking an experienced AWS Cloud Infrastructure & Snowflake Platform Engineer to build and manage secure cloud environments supporting enterprise AI/GenAI initiatives. This role focuses on AWS infrastructure, cloud security, platform engineering, and Snowflake administration rather than data engineering or ETL development.

The ideal candidate should have strong expertise in designing scalable AWS infrastructure, implementing Infrastructure as Code, administering Snowflake platforms, and collaborating with security teams to build enterprise-grade cloud foundations.

Roles & Responsibilities

• Design and implement secure AWS infrastructure following enterprise architecture standards.
• Build and maintain AWS landing zones, multi-account environments, networking, IAM, and cloud governance.
• Configure and manage AWS networking components including VPC, Transit Gateway, PrivateLink, security groups, routing, and connectivity.
• Implement cloud security using IAM, KMS, encryption, identity federation, and security best practices.
• Administer Snowflake platform including role hierarchy, RBAC, warehouses, resource monitors, masking policies, row access policies, and network policies.
• Build reusable Infrastructure as Code using Terraform and CloudFormation.
• Automate infrastructure deployment using CI/CD pipelines and GitHub Actions.
• Partner with cloud security, infrastructure, and architecture teams to ensure platform compliance.
• Enable AI/GenAI engineering teams with secure platform components and governed environments.
• Configure and support AWS Bedrock and Snowflake Cortex platforms where applicable.
• Conduct infrastructure code reviews and promote environments through controlled deployment processes.
• Monitor cloud platform availability, security, performance, and operational health.
• Troubleshoot infrastructure, networking, IAM, and Snowflake administration issues.
• Continuously improve cloud governance, automation, and platform reliability.

What Makes an Ideal Candidate

Candidates should have practical experience with:

AWS Infrastructure

• VPC
• IAM
• KMS
• ECS/EKS
• Transit Gateway
• PrivateLink
• S3
• Lambda
• Multi-account AWS environments
• Landing Zones

Snowflake Administration

• RBAC
• Warehouse management
• Resource Monitors
• Network Policies
• Masking Policies
• Row Access Policies
• User & Role Administration

Infrastructure Automation

• Terraform
• CloudFormation
• GitHub Actions
• AWS CodePipeline

Nice to Have

• AWS Bedrock
• Snowflake Cortex
• AI Platform Enablement
• Financial Services domain
• Cloud Security

• Responsible for designing, storing, processing, and maintaining of large-scale data and related infrastructure.
• Can drive multiple projects both from operational and technical standpoint.
• Ideate and build PoV or PoC for new product that can help drive more business.
• Responsible for defining, designing, and implementing data engineering best practices, strategies, and solutions.
• Is an Architect who can guide the customers, team, and overall organization on tools, technologies, and best practices around data engineering.
• Lead architecture discussions, align with business needs, security, and best practices.
• Has strong conceptual understanding of Data Warehousing and ETL, Data Governance and Security, Cloud Computing, and Batch & Real Time data processing
• Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc.
• Understanding of Medallion architecture pattern
• Has worked on at least one cloud platform.
• Has worked as data architect and executed multiple end-end data engineering project.
• Has extensive knowledge of different data architecture designs and data modelling concepts.
• Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes.

Required Tech Stack

• Strong proficiency in SQL
• Experience working on any of the three major cloud platforms i.e., AWS/Azure/GCP
• Working knowledge of an ETL and/or orchestration tools like IICS, Talend, Matillion, Airflow, Azure Data Factory, AWS Glue, GCP Composer, etc.
• Working knowledge of one or more OLTP databases (Postgres, MySQL, SQL Server, etc.)
• Working knowledge of one or more Data Warehouse like Snowflake, Redshift, Azure Synapse, Hive, Big Query, etc.
• Proficient in at least one programming language used in data engineering, such as Python (or Scala/Rust/Java)
• Has strong execution knowledge of Data Modeling (star schema, snowflake schema, fact vs dimension tables)
• Proficient in Spark and related applications like Databricks, GCP DataProc, AWS Glue, EMR, etc.
• Has worked on Kafka and real-time streaming.
• Has strong execution knowledge of data architecture design patterns (lambda vs kappa architecture, data harmonization, customer data platforms, etc.)
• Has worked on code and SQL query optimization.
• Strong knowledge of version control systems like Git to manage source code repositories and designing CI/CD pipelines for continuous delivery.
• Has worked on data and networking security (RBAC, secret management, key vaults, vnets, subnets, certificates)

Overview:  Looking for experienced Senior Developers to work on a cross-functional team to solve real-world problems for healthcare providers around United States of America.

They will be required to use their expertise to design, build, test, and improve the features that will enable our customers to effectively run their business and provide patient care. We are looking for ideal candidates who like solving tough problems, enjoys being part of a fun team, and are tenacious.

Requirements:

• Fluent English Required, and able to provide well-articulated and reasoned explanations for when and why to apply software design patterns.

• Experience of 3 to 5 years developing using MEAN Stack

• Strong development experience using Node.JS, Express, Angularjs and Mongodb

• Experience in UX, CSS, LESS/SASS, Git, Gulp

• Agile development background is required

• Test Driven Development experience

• Cloud deployment experience is preferred, working with Google, AWS, Jenkins, Docker

Requirements:

• Experience of managing Engineering teams in an Agile environment.
• Expert knowledge of delivering solutions in Azure cloud within a large-scale enterprise environment.
• Great understanding of DevOps principles and how they assist in taking products to market in an effective manner.
• Experience of Automation/Configuration management tools as well as working in a continuous delivery environment, monitoring and tooling.
• Knowledge and experience in Azure, Kubernetes, Containerisation, Azure DevOps pipelines.
• Experience in managing permissions in Azure DevOps.
• Working experience in Application Gateways, App Services, Front-Door, Azure Service Bus, etc.
• Troubleshooting experience in virtual/cloud infrastructures.
• Experience in delivery of projects using IAC (Infrastructure as Code).

Having experience in developing both front-end and back-end in .Net Projects.
Strong knowledge of .NET web framework preferably the latest version.

Strong Knowledge on MVC, Web Services, Entity Framework, Store Procedure and LINQ.
Proficient in C#, with a good knowledge of their ecosystems.
Strong understanding of object-oriented programming.
Skill for writing reusable libraries.
Familiar with various design and architectural patterns.
Knowledge of concurrency patterns
Familiarity with Microsoft SQL Server.
Experience/Knowledge in popular web application frameworks such as Angular2.
Understanding of fundamental design principles for building a scalable application.
Basic understanding of Common Language Runtime (CLR), its limitations, weaknesses, and workarounds.
Experience/Knowledge in implementing automated testing platforms and unit tests
Having experience in Angular 2 ( type script), SQL and web services is A MUST
Proficient understanding of code versioning tools preferably Git.
Willingness to learn new technologies.