11+ Symantec Enterprise Vault Jobs in Hyderabad | Symantec Enterprise Vault Job openings in Hyderabad

ROLES AND RESPONSIBILITIES:

You will be responsible for architecting, implementing, and optimizing Dremio-based data Lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

IDEAL CANDIDATE:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

PREFERRED:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

· 5 years of experience as a Product Specialist, Business Analyst, or any other occupation/title providing experience with business process and data analysis

· Proven experience with and understanding of relational databases, and ability to construct basic to intermediate query logic

· 2 years of experience in asset management and/or fintech domain in R&D or product capacity

We are looking for a skilled Fullstack Developer with at least 10 years of experience building and maintaining responsive, scalable web applications. You will work across a full technology stack, from crafting intuitive React.js user interfaces to designing and implementing robust backend services with Node.js and PostgreSQL. This role requires strong proficiency in React.js, JavaScript/TypeScript, and the ability to collaborate closely with designers, backend engineers, and product managers to deliver exceptional end-to-end product experiences.

Lead Mobile Engineer - Android & iOS, AI-Native Healthcare Apps

📍 Location: Hyderabad, India

📍 Work Type: Full-Time | On-site / Hybrid

📍 Experience: 5–7 Years

Role Overview

Lead design, development, and delivery of mobile apps across Android and iOS. Own architecture, quality, and mobile engineering practice. Integrate Voice AI, conversational AI, and real-time features into patient-facing healthcare applications.

Key Responsibilities

Mobile Architecture & Delivery

•    Lead architecture and development of native or cross-platform mobile apps (Android & iOS)

•    Set technical direction, coding standards, and best practices for mobile

•    Deliver performant, polished, accessible mobile experiences at scale

•    Own app release process: app store submissions, versioning, mobile CI/CD

AI & Real-Time Integration

•    Integrate Voice AI, conversational AI, and LLM-powered features into mobile

•    Build real-time patient engagement experiences (streaming, push, WebSockets)

•    Collaborate with backend, product, and design on cohesive AI experiences

Quality & SDLC

•    Monitor app performance, crashes, and user feedback; drive continuous improvement

•    Champion mobile SDLC practices: testing, CI/CD, code review, release management

•    Leverage AI coding tools (Cursor, Copilot, Claude Code) to increase velocity

Leadership & Mentorship

•    Mentor and guide mobile engineers; conduct technical reviews

•    Own mobile engineering standards and drive architectural decisions

Requirements

•    5–7 years mobile development (Android & iOS)

•    Strong native expertise: Kotlin/Java (Android) and/or Swift (iOS)

•    OR cross-platform expertise: React Native or Flutter

•    Proven mobile architecture and technical decision leadership

•    Deep mobile performance, offline support, and security knowledge

•    Full app release lifecycle and store guidelines experience

•    Track record mentoring engineers and leading delivery

•    API integration and mobile-backend communication expertise

•    Strong ownership mindset and AI-first working style

Nice-to-Have

•    AI/LLM or conversational AI features in mobile apps

•    Video stack experience: streaming, recording, real-time communication (WebRTC)

•    Real-time/streaming and push notification systems at scale

•    Mobile open-source contributions or published apps at scale

•    Healthcare technology or health-tech startup experience

Why this opportunity?

•    Build infrastructure and products powering real-world healthcare AI

•    Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)

•    Mission-driven impact — improve patient outcomes and save thousands of staff hours

•    High ownership, rapid learning, and significant career upside

•    Global collaboration across India and the US

•    Seed-stage growth — scale from Seed to Series A alongside the team

Role Overview

As an AI Quality Engineer, you will be the strategic lead for quality within our AI-driven product ecosystem. You will be responsible for validating non-deterministic AI outputs and microservices. You will use tools like Claude Code, Cursor, and Gemini, moving from manual oversight to high-velocity, AI-augmented delivery. You will ensure that our AI products are not only functional but reliable, ethical, and scalable.

Core Responsibilities

• AI-First Test Strategy & Planning: Define and implement the end-to-end test strategy for major AI product areas.
• AI-Augmented Automation: You will adopt Cursor and Claude Code to refactor existing frameworks, develop new frameowrk, migrate legacy framework to modern technologies and automate the creation of test suites.
• Defect Management & Root Cause Analysis: You will perform Root Cause Analysis, submit bugs and ensure their timely resolution.
• Documentation & Reporting: You will document your work and report on quality metrics to stakeholders.

Required Qualifications

• AI Toolchain Mastery: Expert-level experience using AI coding assistants (Claude Code, Cursor) and LLMs (Gemini, GPT-4) to accelerate the SDLC.
• SDLC Experience: Proven track record of product delivery in an Agile environment with a focus on CI/CD (ADO and GitHub Actions).
• Technical Stack: Proficiency in C#, Python or JavaScript and experience with modern testing frameworks (e.g., Selenium, Playwright, Nunit, PyTest).
• Autonomy: Ability to create cases, execute tests manually and automate with minimal oversight.
• Education/Experience: 2-3 years in Quality Engineering with a focus on Web and Mobile Applications testing.

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

We are hiring a Technical Business Analyst who wants to advance their knowledge and experience in Privacy & Security. The ideal candidate will have interest and experience in data privacy and application & data security. We will be providing training resources to ramp up on privacy & security, but candidates with technical background, and interest in privacy & security are preferred.

As the successful candidate, you will be required to: 

• Gathering and documenting needs and use of data from internal and external stakeholders, including privacy requirements based on laws & regulations, document security best practices and requirements.
• Research, analyze, and document business requirements. Prepare high quality analysis such as summarizing security best practices, privacy laws, business requirements specifications, functional and technical specifications, traceability matrices, etc.
• Create user stories based on functional requirements gathered from business teams.
• Work with developers and support teams to resolve defects and environment issues
• Creating data and process workflows.
• Good communication and problem-solving skills.
• Engage and work closely with development team and stakeholders, including attending scrum meetings.

To be eligible for this role, you should possess the following: 

• Bachelor’s or Engineering Degree in Computer Science or a related field.
• 4+ years of relevant experience as a Business Analyst.
• 2+ years of experience using JIRA and Confluence.
• Should have good communication and presentation skills with the ability to adapt to a range of audiences
• Must be self-driven, self-motivated with good soft skills.
• Must have good software engineering skills, thorough knowledge of SDLC, STLC.
• Excellent organizational and time management skills
• Quick learner and attention to detail
• Portray strong analytical and problem-solving skills and the ability to work within a collaborative team environment; Ability to multi-task and manage multiple projects
• Open for new challenges and learning and flexible to work and support the team as per the business need
• Understand and analyze Business, Functional, and technical requirements of the project
• Knowledge in using any of the bug tracking tool like Bugzilla/Jira