data analyst Jobs in Bangalore Jobs In Bangalore Jobs In Mangaluru India

data analyst

data scientist Jobs in Bangalore Jobs In Bangalore Jobs In Mangaluru India

data scientist

data engineer Jobs in Bangalore Jobs In Bangalore Jobs In Mangaluru India

data engineer

assistant manager - big data Jobs in Bangalore Jobs In Bangalore Jobs In Mangaluru India

assistant manager - big data

associate - data engineer-data management and analytics-database warehousing Jobs in Bangalore Jobs In Bangalore Jobs In Mangaluru India

associate - data engineer-data management and analytics-database warehousing

data architect data

Happiest Minds Technologies

<div>
 
 Job Description
 
 
 
 **Job Title: Data Scientist - Data**
 
 
 **Company: Happiest Minds**
 
 
 **Location: [Insert Location]**
 
 
 **Job Type: Full-Time**
 
 
 **Experience Required: 3 to 5 years**
 
 
 
 About Happiest Minds
 
 
 
 Happiest Minds is a leading digital transformation and IT services company, committed to delivering innovative technology solutions. Our mission is to make our customers happier by providing unparalleled digital services. We focus on customer satisfaction, and our team of passionate experts is the key to our success.
 
 
 
 Job Summary
 
 
 
 Happiest Minds is seeking a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will have a strong background in Python, machine learning, and natural language processing (NLP). You will work on a variety of exciting projects, leveraging data to drive insights and solutions that enhance business outcomes.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build and deploy machine learning models to address business challenges.
 </li>
 <li>
 Analyze and interpret complex data sets using statistical techniques and tools in Python.
 </li>
 <li>
 Develop and implement NLP applications that enhance our product offerings.
 </li>
 <li>
 Collaborate with cross-functional teams to gather requirements and deliver impactful data-driven solutions.
 </li>
 <li>
 Conduct experiments and prototyping, and translate complex results into actionable insights.
 </li>
 <li>
 Monitor model performance and retrain models as necessary.
 </li>
 <li>
 Stay updated with emerging trends and technologies in data science and machine learning.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Bachelor?s or Master?s degree in Computer Science, Data Science, Statistics, or a related field.
 </li>
 <li>
 Minimum of 3 years and a maximum of 5 years of relevant work experience as a Data Scientist.
 </li>
 <li>
 Proficiency in Python programming and familiar with libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow.
 </li>
 <li>
 Strong understanding of machine learning techniques and algorithms.
 </li>
 <li>
 Experience with Natural Language Processing (NLP) and its applications.
 </li>
 <li>
 Excellent analytical skills, with the ability to work with large datasets.
 </li>
 <li>
 Strong problem-solving skills and a keen attention to detail.
 </li>
 <li>
 Ability to communicate complex findings in a clear and concise manner.
 </li>
 <li>
 Experience working in an Agile or similar project management environment is a plus.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 A vibrant work culture with a focus on employee happiness.
 </li>
 <li>
 Opportunities for professional growth and development.
 </li>
 <li>
 Competitive salary and benefits package.
 </li>
 <li>
 Work-life balance and flexibility.
 
 
 </li>
 </ul>
 If you are a passionate Data Scientist looking to make a significant impact through innovative data solutions, we would love to hear from you. Apply now to join the Happiest Minds family!
 
 
 
 To Apply
 
 
 
 Please send your resume and a cover letter to [Insert Email Address] with the subject line "Application for Data Scientist - Data".
 
 
 *Happiest Minds is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.*
</div>

DATA ARCHITECT - DATA

Wipro

<div>
 Job description:
 
 
 Job Description
 
 &nbsp;
 
 <ul>
 <li>
 
 Key Skills: Data Lakes, Data Analytics, Microsoft Fabric, Snowflake, Tableau, Power BI, Azure Databricks (Apache Spark Engine)
 
 </li>
 <li>
 Architect and implement data lake solutions using Microsoft Fabric, Snowflake, or Azure Databricks.
 </li>
 <li>
 Design and develop ETL/ELT pipelines for structured and unstructured data using Spark or other frameworks.
 </li>
 <li>
 Build interactive dashboards and reports using Tableau and Power BI to support business decision-making.
 </li>
 <li>
 Integrate data platforms with enterprise systems (CRM, ERP, DMS) for seamless data exchange.
 </li>
 <li>
 Collaborate with data scientists and analysts to support AI/ML workflows and predictive analytics.
 </li>
 <li>
 Ensure data quality, governance, and compliance with regulations (e.g., GDPR, HIPAA).
 </li>
 <li>
 Optimize performance, scalability, and security of data platforms across cloud and hybrid environments.
 </li>
 <li>
 Participate in client discussions, requirement gathering, and solution documentation.
 </li>
 <li>
 Support pre-sales activities, including solution presentations and proposal development.
 </li>
 <li>
 Lead or mentor development teams depending on experience level and role.
 </li>
 <li>
 Experience with one or more of the following: Microsoft Fabric, Snowflake, Tableau, Power BI, Azure Databricks
 </li>
 <li>
 Strong understanding of data modeling, ETL/ELT, and big data processing
 </li>
 <li>
 Experience in Telecom domain or working with Telecom clients (preferred)
 </li>
 <li>
 Excellent communication, stakeholder management, and client-facing skills
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related fields
 </li>
 </ul>
 ͏ ͏
 
 &nbsp;
 
 
 &nbsp;
 
 
 Experience: 5-8 Years .
 
 
 &nbsp;
 
 
 Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
 
 
 
 Profile description:
 
 
 Job Description
 
 &nbsp;
 
 <ul>
 <li>
 
 Key Skills: Data Lakes, Data Analytics, Microsoft Fabric, Snowflake, Tableau, Power BI, Azure Databricks (Apache Spark Engine)
 
 </li>
 <li>
 Architect and implement data lake solutions using Microsoft Fabric, Snowflake, or Azure Databricks.
 </li>
 <li>
 Design and develop ETL/ELT pipelines for structured and unstructured data using Spark or other frameworks.
 </li>
 <li>
 Build interactive dashboards and reports using Tableau and Power BI to support business decision-making.
 </li>
 <li>
 Integrate data platforms with enterprise systems (CRM, ERP, DMS) for seamless data exchange.
 </li>
 <li>
 Collaborate with data scientists and analysts to support AI/ML workflows and predictive analytics.
 </li>
 <li>
 Ensure data quality, governance, and compliance with regulations (e.g., GDPR, HIPAA).
 </li>
 <li>
 Optimize performance, scalability, and security of data platforms across cloud and hybrid environments.
 </li>
 <li>
 Participate in client discussions, requirement gathering, and solution documentation.
 </li>
 <li>
 Support pre-sales activities, including solution presentations and proposal development.
 </li>
 <li>
 Lead or mentor development teams depending on experience level and role.
 </li>
 <li>
 Experience with one or more of the following: Microsoft Fabric, Snowflake, Tableau, Power BI, Azure Databricks
 </li>
 <li>
 Strong understanding of data modeling, ETL/ELT, and big data processing
 </li>
 <li>
 Experience in Telecom domain or working with Telecom clients (preferred)
 </li>
 <li>
 Excellent communication, stakeholder management, and client-facing skills
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related fields
 </li>
 </ul>
 ͏ ͏
 
 &nbsp;
 
 
 &nbsp;
 
 
 Experience: 5-8 Years .
 
 
 &nbsp;
 
 
 Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
 
</div>

Data Engineer

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 8 years of experience in designing and implementing supply chain functions.
 </li>
 <li>
 Experience in working with database technologies, including both standalone and cloud-based databases, for data extraction and quantitative data manipulation.
 </li>
 <li>
 Experience in defining and implementing standard procedures for solution design, solution development, systems configuration, test documentation/execution, issue identification, and resolution.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 12 years of experience in designing and implementing supply chain functions.
 </li>
 <li>
 Experience with SAP ERP, supply chain management, contract manufacturing, sustainability, data analysis, data integration, and collaboration.
 </li>
 <li>
 Understanding of software development, build, and deployment processes, with the ability to work closely with developers to translate business requirements into technical solutions.
 </li>
 <li>
 Ability to architect innovative solutions that automate and scale business systems, and provide direction for architecture, design, build, and support activities, focusing on excellence, performance, and security.
 
 
 </li>
 </ul>
 
 About the job
 
 At Google, we work at lightning speed. So when things get in the way of progress, the Business Systems Integration team steps in to remove those roadblocks. The team identifies time-consuming internal processes and then builds solutions that are reliable and scalable enough to work within the size and scope of the company. You listen to and translate Googler needs into high-level technical specifications, design and develop recommended systems and consult with Google executives to ensure smooth implementation. Whether battling large system processes or leveraging our homegrown suite of Google products for Googlers themselves, you help Googlers work faster and more efficiently. The AI and Infrastructure team is redefining what&rsquo;s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
 
 
 We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Integrate and scale both Google-designed systems and third-party available products for Alphabet. Lead large-scale implementation involving complex workflows and system architectures.
 </li>
 <li>
 Collaborate with internal business teams to architect and lead the system direction.
 </li>
 <li>
 Define best practices for solution design, development, system configuration, test documentation, execution, issue identification, and resolution.
 </li>
 <li>
 Architect solutions to automate and scale business systems, while providing direction for architecture, design, build, and support activities required for enterprise software platforms.
 </li>
 <li>
 Ensure the team delivers with quality and predictability.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Business Systems Analyst, Supply Chain Systems

Persistent Systems

<div>
 
 
 About Position:
 
 
 
 
 
 
 We are seeking for Data Analyst with hands on experience in Databricks, PySpark and in AWS, Apache Airflow, ETL, SQL.
 
 
 
 
 <ul>
 <li>
 
 Role: Data Analyst
 
 </li>
 <li>
 
 Location: All Persistent Locations
 
 </li>
 <li>
 
 Experience: 5 to 11 years
 
 </li>
 <li>
 
 Job Type:
 
 
 Full Time Employment
 
 </li>
 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 <ul>
 <li>
 Designing, creating, testing and maintaining the complete data management &amp; processing systems.
 </li>
 <li>
 Working closely with the stakeholders &amp; solution architect.
 </li>
 <li>
 Ensuring architecture meets the business requirements.
 </li>
 <li>
 Building highly scalable, robust &amp; fault-tolerant systems.
 </li>
 <li>
 Discovering data acquisitions opportunities
 </li>
 <li>
 Finding ways &amp; methods to find value out of existing data.
 </li>
 <li>
 Improving data quality, reliability &amp; efficiency of the individual components &amp; the complete system.
 </li>
 <li>
 Creating data models to reduce system complexities and hence increase efficiency &amp; reduce cost.
 </li>
 <li>
 Setting &amp; achieving individual as well as the team goal.
 </li>
 <li>
 Problem solving mindset working in agile environment
 </li>
 </ul>
 
 
 
 
 
 Expertise You'll Bring:
 
 
 
 
 
 <ul>
 <li>
 Candidate should have 5+ years of experience in Data Engineering
 </li>
 <li>
 Must have knowledge and working experience in Databricks, PySpark and in AWS, Apache Airflow, ETL, SQL
 </li>
 <li>
 Nice to Have &ndash; Life science
 </li>
 <li>
 domain experience (Pharma), Redshift, BI Tools (Tableau/Power BI)
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
 </li>
 <li>
 Opportunity to work with cutting-edge technologies
 </li>
 <li>
 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
 </li>
 <li>
 Annual health check-ups
 </li>
 <li>
 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
 </li>
 </ul>
 
 
 
 
 
 Values-Driven, People-Centric &amp; Inclusive Work Environment:
 
 
 
 
 
 
 Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
 
 
 
 
 <ul>
 <li>
 We support hybrid work and flexible hours to fit diverse lifestyles.
 </li>
 <li>
 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
 </li>
 <li>
 If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
 </li>
 </ul>
 
 
 
 
 
 Let&rsquo;s unleash your full potential at Persistent
 
 
 
 
 
 
 
 
 &ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;
 
 
 
</div>

Data Analyst

Flipkart

<div>
 
 
 
 Research Manager &ndash; Machine Learning (RESEARCH SCIENCES)
 
 
 
 
 
 
 
 
 About Data Sciences Group at Flipkart:
 
 
 
 The Data Sciences team at Flipkart is on a mission to build systemic intelligence across Flipkart products and the overarching ecosystem. Being India&rsquo;s largest online marketplace and the most used e-commerce app in India, places Flipkart in a unique vantage position and gives this team a distinctive opportunity &mdash; to decipher the richest possible data about Indian consumers. Add the dimension of a vast product selection and a proliferating seller base to that and what you get is a multitude of disruptive possibilities.
 
 
 In a nutshell, the terabytes of daily data compounded in Flipkart&rsquo;s data centers offer a dynamic mix of numerical, structured, unstructured, image- and audio-based statistics, all set to define shopping in the future.
 
 
 
 
 
 
 What this job entails:
 
 
 
 As a leader in the space of Data Science, you will lead a team of highly qualified professionals, within the context of a functional unit, with expertise in areas of Machine Learning &amp; Artificial Intelligence. Your team will comprise of Data Scientists. Your primary responsibility will be to strategize and guide the application of data sciences, and leverage data capabilities to drive Flipkart&rsquo;s Business Value Proposition. In simpler terms, you will help build intelligence across Flipkart products. In this role, you will:
 
 <ul>
 <li>
 Closely work with the Data Science team to formulate data-led solutions and models
 </li>
 <li>
 Use advanced Machine Learning techniques to enable key business goals
 </li>
 <li>
 Be a strong proponent of the customer and the business, with the capability to drive efficiency and productivity, and enable automation across the spectrum
 </li>
 <li>
 Should have thorough understanding of key AI and ML techniques &mdash; If not all &mdash; spanning Predictive Modelling, NLP, Text Mining, Classification, Regression, Deep Learning, etc.
 </li>
 </ul>
 
 
 
 
 
 Key Roles &amp; Responsibilities:
 
 
 
 The Flipkart Data Science team applies capabilities across numerous business problem statements within the e-commerce ecosystem. The application extends across Customer Experience, Supply-Chain, Engineering, Cataloguing and other critical scenarios, with solutions designed around discovery, personalization, intent modelling, demand shaping and planning, insights, sentiment prediction, response matching, fulfilment automation, last-mile optimization, fraud modelling and search&mdash;all of which just form the tip of the iceberg. In this role, you will be responsible to:
 
 <ul>
 <li>
 Help the Data Science team of the functional unit to formulate and architect future AI / ML models for Flipkart Products
 </li>
 <li>
 Guide teams through decisions around applying Data Science and Data Modelling techniques to drive innovation, efficiency productivity and automation within Flipkart&rsquo;s ecosystem
 </li>
 <li>
 Ensure timely deployment of models in a high-pace business, large-scale production environment
 </li>
 <li>
 Coach the Data Science team on various challenges and trade-offs in developing models that can accurately employ real data
 </li>
 <li>
 Build deep partnerships with business, product management, and technology leaders
 </li>
 <li>
 Lead, hire, manage and mentor a team of highly qualified Data Scientist, Data Engineers, Software Engineers ML and Research Scientists
 </li>
 <li>
 Help develop systems-driven framework for tracking the quality, consistency, applicability and performance of data inputs and outcomes
 </li>
 <li>
 Build and leverage tools that allow for democratization and easy consumption and analysis of data across the organization.
 </li>
 </ul>
 
 
 
 
 
 Our Associations &amp; Collaborations:
 
 
 
 Associations and collaborations: The Flipkart Data Science team is also leveraging partnerships with Indian and foreign universities &mdash; like CMU, IIT's, IISc and IIIT&rsquo;s &mdash; for developing class-leading solutions in the e-commerce sector.
 
 
 At Flipkart, the work of a Data Scientist involves collaboration with the engineering and product teams to ensure a holistic outcome at the product delivery. The flat functional structure within Flipkart engineering enables data scientists to focus on excellence and create a deep sense of ownership at every stage of work.
 
 
 
 
 
 
 Basic Qualification:
 
 
 
 Education Qualification: B.Tech / M.Tech in CS/ML/AI Statistics with demonstrable experience through publications / deployed solutions / projects.
 
 
 Should have formally managed small/large teams of DS, data Engineers with DS capabilities for at least 2-4 Yrs.
 
 
 Strong technical skills in machine learning/AI, including optimization, simulation, regression techniques, neural networks, decision trees, cluster analysis, pattern recognition, probability theory, stochastic systems, Bayesian inference, and statistical techniques.
 
 
 
</div>

Data Science Manager

AB InBev GCC India

<div>
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 Do You Dream Big?
 
 
 
 
 
 We Need You.
 
 
 
 
 
 
 Job Title: Senior Backend Engineer
 
 
 
 
 
 
 
 Location: Bangalore
 
 
 
 
 
 
 
 Reporting to: Senior Manager Analytics
 
 
 
 
 
 
 
 1.Purpose of the role
 
 
 
 
 
 <ul>
 <li>
 We are seeking a highly skilled and experienced Senior Backend Engineer to join our dynamic team. You will be responsible for designing, developing, and maintaining scalable backend systems and APIs that power our products. This role demands a strong foundation in Python-based frameworks, cloud infrastructure, and modern software engineering practices.
 </li>
 </ul>
 
 
 
 
 
 2.Key Tasks AND Accountabilities
 
 
 
 
 
 <ul>
 <li>
 Design and develop RESTful APIs using Python frameworks such as Django, Fast API, or Flask.
 </li>
 <li>
 Architect scalable backend systems with a focus on performance, reliability, and security.
 </li>
 <li>
 Implement and maintain CI/CD pipelines using GitHub Actions or similar tools.
 </li>
 <li>
 Optimize relational databases (PostgreSQL, MySQL) and apply ORM tools like Django ORM, SQL Alchemy, Sequelize, or Waterline.
 </li>
 <li>
 Containerize applications using Docker and manage deployments in Azure cloud (Web Apps, Functions).
 </li>
 <li>
 Collaborate with cross-functional teams including frontend developers, product managers, and DevOps.
 </li>
 <li>
 Conduct code reviews, write unit and integration tests using tools like pytest, locust, and hypothesis.
 </li>
 <li>
 Mentor junior engineers and guide the team in making sound technical decisions.
 </li>
 <li>
 Apply domain-driven design and microservices architecture principles.
 </li>
 <li>
 Ensure adherence to Python best practices (PEP8) and scalable design patterns.
 </li>
 <li>
 Proactively identify potential issues and implement preventive solutions with an owner&rsquo;s mindset.
 </li>
 </ul>
 
 
 
 
 
 3.Qualifications, Experience, Skills
 
 
 
 
 
 <ul>
 <li>
 BE/B. Tech in CS or similar domain
 </li>
 </ul>
 
 
 
 
 
 Work experience
 
 
 
 
 
 <ul>
 <li>
 5+ years of backend development experience with Python.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills Required,
 
 
 
 
 
 <ul>
 <li>
 Strong expertise in Django, FastAPI, Flask, and RESTful API design.
 </li>
 <li>
 Proficiency in PostgreSQL, MySQL, and ORM tools.
 </li>
 <li>
 Experience with Docker, Git, GitHub, and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of DB design principles and performance optimization.
 </li>
 <li>
 Hands-on experience with Azure cloud services (Web Apps, Functions).
 </li>
 <li>
 Familiarity with testing frameworks like pytest, locust, and hypothesis.
 </li>
 <li>
 Strong foundation in data structures and algorithms.
 </li>
 <li>
 Experience in distributed/cloud-based environments (minimum 4 years).
 </li>
 </ul>
 
 
 
 
 
 Good to have skills:
 
 
 
 
 
 <ul>
 <li>
 Exposure to frontend technologies: HTML, CSS, JavaScript, TypeScript.
 </li>
 <li>
 Experience with Sequelize/Waterline ORM.
 </li>
 <li>
 Knowledge of AI/ML integration and GenAI tools (Langchain, LangGraph).
 </li>
 <li>
 Familiarity with Kubernetes, Terraform, and monitoring tools.
 </li>
 <li>
 Agile/Scrum development experience.
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 
 
 
 We dream big to create future with more cheers
 
 .
 
</div>

Back End Developer

Oleria

<div>
 About Oleria:
 
 
 Oleria provides adaptive and autonomous identity security solutions that help organizations accelerate at the pace of change, trusting that their data is protected. Oleria enables organizations to have comprehensive visibility into their access posture and autonomously identifies and mitigates access risks before they can be exploited. Founded by cybersecurity industry veterans with decades of experience building and operating some of the world's largest security programs, Oleria allows organizations to pursue their best ideas, removing the barriers that keep team members from collaborating. Oleria has received over $43M in funding from Evolution Equity Partners, Salesforce Ventures, Tapestry VC, Zscaler, and other technology luminaries. Oleria sets business free. For more information, please visit www.oleria.com and follow Oleria on LinkedIn and Twitter.
 
 
 Oleria was founded by notable industry senior leaders Jim Alkove and Jagadeesh Kunda, with deep security, data, and SaaS experience building and securing some of the world&rsquo;s largest platforms and products used by billions of people worldwide every day. Our customers are Fortune 500 corporations and public sector organizations, making your contributions vital to improving data security for millions worldwide. We are proud to be recognized as a Best Place to Work and Best Startup to Work For by Built In Seattle!
 
 
 
 Job Overview:
 
 
 
 As an early hire, you will have an opportunity to build as well as help architect our systems and platforms, including our development practices and processes. Many fundamental choices have not yet been made, so this greenfield background is an unusual opportunity to have broad ownership and ability to define requirements and goals for across product delivery, tools, and process..
 
 
 Above all, you have a bias for action. You love getting product out the door and learning from tight feedback loops, and love the satisfaction you'll receive from knowing that your contributions are directly improving the security of data for millions of people in the world.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Collaborate with the team to develop a top-tier user interface, featuring advanced dashboard capabilities and complex data visualizations for both mobile and web platforms
 </li>
 <li>
 Seamlessly integrate front-end components with custom-built APIs
 </li>
 <li>
 Craft and implement responsive, efficient interfaces using modern technologies like React
 </li>
 <li>
 Actively engage in technical discussions, advocating for your principles while being open to different viewpoints
 </li>
 <li>
 Provide technical leadership in developing our frontend architecture, emphasizing performance, scalability, and security
 </li>
 <li>
 Partner with the product team to align development efforts with the product vision and roadmap
 </li>
 <li>
 Stay ahead of the curve by researching and introducing cutting-edge front-end technologies and practices
 
 
 
 </li>
 </ul>
 
 Skills Required:
 
 
 
 <ul>
 <li>
 3 - 6 years of experience in frontend development, with a strong portfolio showcasing your skills
 </li>
 <li>
 Expertise in technologies such as React, HTML, CSS and JavaScript
 </li>
 <li>
 Good knowledge level of Typescript. Our Frontend team loves Typescript!
 </li>
 <li>
 Comprehensive understanding of the software development lifecycle, including testing, deployment, and operational best practices
 </li>
 <li>
 Experience in redesigning and rebuilding UIs for commercial products
 </li>
 <li>
 Knowledge of various Frontend design patterns including composition and compounding components
 </li>
 <li>
 Proven track record of developing and managing high-scale commercial SaaS products
 </li>
 <li>
 Familiarity with cloud platforms (AWS preferred), and modern deployment tools like CI/CD, containers, and Terraform
 </li>
 <li>
 Commitment to secure coding practices and a thorough understanding of the entire development and deployment process
 
 
 
 </li>
 </ul>
 
 Bonus Qualifications:
 
 
 
 <ul>
 <li>
 BS, Masters, or PhD in computer science or related, or equivalent experience
 </li>
 <li>
 Advanced knowledge of AWS Services
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Strong verbal and written communication skills
 </li>
 <li>
 Independent learner, with an open mind, and a team-oriented mentality with the ability and willingness to grow
 </li>
 <li>
 A background in cybersecurity or SaaS, particularly in Access, Identity, and Governance
 
 
 
 </li>
 </ul>
 
 What we offer:
 
 
 
 <ul>
 <li>
 Competitive salary, equity, and benefits package
 </li>
 <li>
 Opportunities for professional growth and advancement in a fast-growing company
 </li>
 <li>
 The chance to work directly with our co-founders and contribute meaningfully to shaping the company&rsquo;s direction
 </li>
 <li>
 A collaborative and dynamic work environment with a dedicated team of professionals
 
 
 
 </li>
 </ul>
 We use standardized software engineer titles: Software Engineer, Senior Software Engineer, or Principal Software Engineer. Your specific title will be determined upon hiring. We do not use specialized titles like "Backend Engineer" or "Frontend Engineer".
 
 
 
 Note:
 
 This is a full-time, on-site role with a 5-day work week. While we offer reasonable flexibility when needed, candidates seeking remote or hybrid arrangements are requested not to apply.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Frontend Engineer - Bangalore

Explore 318+ Data architect data in Bangalore Jobs In Bangalore Jobs In Mangaluru India this November. Find roles across top companies and apply now to boost your career.