1,726 Data Systems jobs in India
Sr. Engineer, Data Systems
Posted today
Job Viewed
Job Description
About Netskope
Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.
Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.Visit us at Please follow us on and Twitter.
About the role
We are looking for a motivated and skilled Data Systems Engineer to support the development and operation of systems that track software usage and manage licensing entitlements. The ideal candidate will bring technical proficiency in Python, data integration, and visualization tools with the ability to collaborate across teams.
What’s in it for you
This role is well-suited for an engineer who enjoys building automation, working with diverse data sources, and contributing to scalable analytics systems that drive business decisions.
What you will be doing
Required skills and experience
Education
#LI-RS1
Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.
Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to for more details.
Sr. Data & Systems Analyst
Posted today
Job Viewed
Job Description
About Netskope
Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.
Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.Visit us at Please follow us on and Twitter.
About the role
We are seeking a detail-oriented and insightful Data Analyst to join our Platform Growth Engineering team at Netskope. If you have a passion for uncovering trends, solving problems with data, and helping an organization leverage its information assets, we want to hear from you.
What’s in it for you
In this role, you will be responsible for transforming raw data into actionable insights that drive business decisions and improve performance. You will work closely with various stakeholders to understand their needs, analyze complex datasets, and communicate your findings effectively.
What you will be doing
Required skills and experience
Education
#LI-RS1
Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.
Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to for more details.
Senior Manager, Data Systems Architecture
Posted 7 days ago
Job Viewed
Job Description
Date: Aug 26, 2025
Req ID: 99514
Location:
Bengaluru, KA, IN
Workplace Type: Hybrid/Remote
**Job Summary**
We are seeking an experienced and innovative Senior Manager, Data Systems Architecture to lead the design, creation, and evolution of system architectures for AI, analytics, and data platforms and systems within our organization. The ideal candidate will have extensive experience delivering scalable, high-performance data architectures across cloud platforms such as AWS, Google Cloud Platform, and Databricks, with a proven ability to align technology solutions with business goals.
This individual will collaborate with cross-functional teams, including data engineers, data scientists, and other IT professionals to create architectures that support cutting-edge data and AI initiatives, driving efficiency, scalability, and innovation.
**Job Function and Responsibilities:**
+ Architecture Leadership: Lead the end-to-end architecture for data systems, ensuring cost-effective scalability, performance, and security across cloud and on-premises environments. The goal is to build and support a modern data stack.
+ AI & Data Systems: Design, implement, and manage data infrastructure and platforms, including but not limited to AWS, Azure, Google Cloud Platform, Databricks, and other key data tools. Lead the data model approach for all data products and solutions
+ Cloud Expertise: Champion cloud adoption strategies, optimizing data pipelines, analytics workloads, and end point creation and app integration.
+ System Evolution: Drive the continuous improvement and evolution of data platforms to meet emerging business needs, technological advancements, and industry trends.
+ Collaboration & Leadership: Work closely with delivery teams, data engineers, data scientists, software engineers, and IT operations to implement comprehensive data architectures that support AI and analytics initiatives focused on continuous improvement.
+ Strategic Vision: Partner with business and technology stakeholders to understand long-term goals, translating them into architectural frameworks and roadmaps that drive business value.
+ Governance & Best Practices: Ensure best practices in data governance, security, and compliance, overseeing the implementation of standards across data systems.
+ Performance Optimization: Identify opportunities to optimize performance, cost-efficiency, and operational effectiveness of data systems including ETL, ELT and data pipeline creation and evolution.
**FUNCTIONAL KNOWLEDGE:**
+ Experience: 10+ years of experience in data architecture, or cloud infrastructure, with at least 3-5 years in a leadership role. Proven experience driving solutions from ideation to delivery and support.
+ Cloud Expertise: Deep hands-on experience with cloud platforms like AWS, Google Cloud Platform (GCP), and Databricks. Familiarity with other data and AI platforms is a plus.
+ AI & Analytics Systems: Proven experience working with architectures for AI, machine learning, analytics, and large-scale data processing systems.
+ Technical Knowledge: Expertise in data architecture, including data lakes, data warehouses, real-time data streaming, and batch processing frameworks.
+ Cross-Platform Knowledge: Solid understanding of containerization (Docker, Kubernetes), infrastructure as code (Terraform, CloudFormation), and big data ecosystems (Spark, Hadoop).
+ Experience in applying Agile methodologies, including Scrum, Kanban or SAFe
+ Experience in top reporting solutions, including/preferred Tableau which is one of our cornerstone solutions.
+ Leadership: Strong leadership and communication skills, with the ability to drive architecture initiatives in a collaborative and fast-paced environment. Excellent problem-solving skills and a proactive mindset
+ Education: Bachelor's degree in computer science, Data Science, or related field. Master's degree or relevant certifications (e.g., AWS Certified Solutions Architect) is preferred.
**BUSINESS EXPERTISE:**
+ Experience in industries such as manufacturing, agriculture, or supply chain, particularly in AI and data use cases.
+ Familiarity with regulatory requirements related to data governance and security.
+ Experience with emerging technologies like edge computing, IoT, and AI/ML automation tools.
**ESSENTIAL SKILLS:**
+ Excellent communication / interpersonal skills, capable of interacting with multiple levels of IT and business management/leadership.
+ Hands on experience with AWS, GCP, Databricks, SAP Hana, SAP Data Services or similar data storage, warehousing and/or ETL solutions.
+ 7 to 10+ years of progressive IT experience
+ Experience creating data models, querying data, business process and technical process mapping.
+ Successfully influences diverse groups and teams in a complex, ambiguous and rapidly changing environment to deliver value-added solutions.
+ Effective working relationship with the business to ensure business requirements are accurately captured, agreed, and accepted.
+ Adaptable to new technologies/practices and acts as change agent within teams.
**Job Segment:** Cloud, Supply Chain Manager, Data Architect, Solution Architect, Data Management, Technology, Operations, Data
Founding Engineer – Backend & Data Systems
Posted today
Job Viewed
Job Description
Location: Bengaluru / Hybrid
Experience: 6–10 years
Type: Full-time | Founding Team | Equity + Compensation
⸻
About Us
We’re building DecisionX AI – a Self-Learning, Goal-Aware Decision OS that transforms how enterprises move from Goal → Plan → Act → Learn → Evolve.
Our platform unifies siloed enterprise data, builds domain-rich ontologies, and powers a suite of Decision Agents (AI Chief of Staff, AI Strategist, AI Analyst) to help organisations act with clarity and precision.
As an early member of the founding team, you’ll own the backend and data systems architecture , shaping how massive numerical data flows are ingested, reasoned over, and transformed into actionable intelligence.
⸻
What You’ll Do
• Architect & Own Core Systems : Build and scale backend and data platforms that power DecisionX — from APIs and microservices to distributed data pipelines.
• strong>Data & Analytics Platforms : Design ingestion, transformation, and querying layers for structured and unstructured data, enabling BI, RCA, and advanced analytics.
• < trong>Large-Scale Numerical Data : Optimize for performance, fault tolerance, and accuracy in systems handling enterprise-scale quantitative workloads .
• < trong>Agentic Systems : Contribute to building reasoning and agent-based orchestration workflows, enabling autonomous planning and decision loops.
• < trong>Founding Ownership : Work hand-in-hand with the founders to translate vision → working systems , influencing technical roadmap, architecture choices, and culture.
•
⸻
What We’re Looking For
•
• Pro en expertise in one or more of:
• < trong>Backend Systems : Distributed architectures, APIs, microservices, cloud infra.
• < trong>Data Systems & BI : ETL, OLAP, data warehouses (Snowflake, Redshift, BigQuery, ClickHouse, or similar).
• < trong>Analytics Platforms : Building pipelines for dashboards, anomaly detection, RCA, or simulations.
• < trong>Numerical Data Handling : High-volume, high-dimensional quantitative data optimization.
• S rong in Python, Java, or Go (polyglot mindset welcome).
• < trong>Bonus : Experience with agentic/AI systems or workflow orchestration.
• < trong>Startup DNA : Thrives in ambiguity, builds fast, and takes 10x ownership as part of a lean founding crew.
⸻
Why Join Us
•
• < trong>Cutting-Edge Domain : Operate at the intersection of AI, agentic reasoning, and enterprise decision intelligence.
• < trong>Equity + Ownership : Share in the long-term upside of what you help build.
• < trong>Vision & Scale : We’re building the Operating System for Enterprise Decisions — this is your chance to leave a mark.
Founding Engineer – Backend & Data Systems
Posted today
Job Viewed
Job Description
Location: Bengaluru / Hybrid
Experience: 6–10 years
Type: Full-time | Founding Team | Equity + Compensation
⸻
About Us
We’re building DecisionX AI – a Self-Learning, Goal-Aware Decision OS that transforms how enterprises move from Goal → Plan → Act → Learn → Evolve.
Our platform unifies siloed enterprise data, builds domain-rich ontologies, and powers a suite of Decision Agents (AI Chief of Staff, AI Strategist, AI Analyst) to help organisations act with clarity and precision.
As an early member of the founding team, you’ll own the backend and data systems architecture, shaping how massive numerical data flows are ingested, reasoned over, and transformed into actionable intelligence.
⸻
What You’ll Do
•Architect & Own Core Systems: Build and scale backend and data platforms that power DecisionX — from APIs and microservices to distributed data pipelines.
•Data & Analytics Platforms: Design ingestion, transformation, and querying layers for structured and unstructured data, enabling BI, RCA, and advanced analytics.
•Large-Scale Numerical Data: Optimize for performance, fault tolerance, and accuracy in systems handling enterprise-scale quantitative workloads.
•Agentic Systems: Contribute to building reasoning and agent-based orchestration workflows, enabling autonomous planning and decision loops.
•Founding Ownership: Work hand-in-hand with the founders to translate vision → working systems, influencing technical roadmap, architecture choices, and culture.
•Reliability & Observability: Ensure high availability, performance, and transparency across the stack.
⸻
What We’re Looking For
•6–10 years of engineering experience, spanning backend development and data systems.
•Proven expertise in one or more of:
•Backend Systems: Distributed architectures, APIs, microservices, cloud infra.
•Data Systems & BI: ETL, OLAP, data warehouses (Snowflake, Redshift, BigQuery, ClickHouse, or similar).
•Analytics Platforms: Building pipelines for dashboards, anomaly detection, RCA, or simulations.
•Numerical Data Handling: High-volume, high-dimensional quantitative data optimization.
•Strong in Python, Java, or Go (polyglot mindset welcome).
•Bonus: Experience with agentic/AI systems or workflow orchestration.
•Startup DNA: Thrives in ambiguity, builds fast, and takes 10x ownership as part of a lean founding crew.
⸻
Why Join Us
•Founding Team Impact: Define the architecture, product DNA, and engineering culture.
•Cutting-Edge Domain: Operate at the intersection of AI, agentic reasoning, and enterprise decision intelligence.
•Equity + Ownership: Share in the long-term upside of what you help build.
•Vision & Scale: We’re building the Operating System for Enterprise Decisions — this is your chance to leave a mark.
Founding Engineer – Backend & Data Systems
Posted today
Job Viewed
Job Description
Location: Bengaluru / Hybrid
Experience: 6–10 years
Type: Full-time | Founding Team | Equity + Compensation
⸻
About Us
We’re building DecisionX AI – a Self-Learning, Goal-Aware Decision OS that transforms how enterprises move from Goal → Plan → Act → Learn → Evolve.
Our platform unifies siloed enterprise data, builds domain-rich ontologies, and powers a suite of Decision Agents (AI Chief of Staff, AI Strategist, AI Analyst) to help organisations act with clarity and precision.
As an early member of the founding team, you’ll own the backend and data systems architecture , shaping how massive numerical data flows are ingested, reasoned over, and transformed into actionable intelligence.
⸻
What You’ll Do
• Architect & Own Core Systems : Build and scale backend and data platforms that power DecisionX — from APIs and microservices to distributed data pipelines.
• strong>Data & Analytics Platforms : Design ingestion, transformation, and querying layers for structured and unstructured data, enabling BI, RCA, and advanced analytics.
• < trong>Large-Scale Numerical Data : Optimize for performance, fault tolerance, and accuracy in systems handling enterprise-scale quantitative workloads .
• < trong>Agentic Systems : Contribute to building reasoning and agent-based orchestration workflows, enabling autonomous planning and decision loops.
• < trong>Founding Ownership : Work hand-in-hand with the founders to translate vision → working systems , influencing technical roadmap, architecture choices, and culture.
•
⸻
What We’re Looking For
•
• Pro en expertise in one or more of:
• < trong>Backend Systems : Distributed architectures, APIs, microservices, cloud infra.
• < trong>Data Systems & BI : ETL, OLAP, data warehouses (Snowflake, Redshift, BigQuery, ClickHouse, or similar).
• < trong>Analytics Platforms : Building pipelines for dashboards, anomaly detection, RCA, or simulations.
• < trong>Numerical Data Handling : High-volume, high-dimensional quantitative data optimization.
• S rong in Python, Java, or Go (polyglot mindset welcome).
• < trong>Bonus : Experience with agentic/AI systems or workflow orchestration.
• < trong>Startup DNA : Thrives in ambiguity, builds fast, and takes 10x ownership as part of a lean founding crew.
⸻
Why Join Us
•
• < trong>Cutting-Edge Domain : Operate at the intersection of AI, agentic reasoning, and enterprise decision intelligence.
• < trong>Equity + Ownership : Share in the long-term upside of what you help build.
• < trong>Vision & Scale : We’re building the Operating System for Enterprise Decisions — this is your chance to leave a mark.
Founding Engineer – Backend & Data Systems
Posted today
Job Viewed
Job Description
Location: Bengaluru / Hybrid
Experience: 6–10 years
Type: Full-time | Founding Team | Equity + Compensation
⸻
About Us
We’re building DecisionX AI – a Self-Learning, Goal-Aware Decision OS that transforms how enterprises move from Goal → Plan → Act → Learn → Evolve.
Our platform unifies siloed enterprise data, builds domain-rich ontologies, and powers a suite of Decision Agents (AI Chief of Staff, AI Strategist, AI Analyst) to help organisations act with clarity and precision.
As an early member of the founding team, you’ll own the backend and data systems architecture , shaping how massive numerical data flows are ingested, reasoned over, and transformed into actionable intelligence.
⸻
What You’ll Do
• Architect & Own Core Systems : Build and scale backend and data platforms that power DecisionX — from APIs and microservices to distributed data pipelines.
• b>Data & Analytics Platforms : Design ingestion, transformation, and querying layers for structured and unstructured data, enabling BI, RCA, and advanced analytics.
• < >Large-Scale Numerical Data : Optimize for performance, fault tolerance, and accuracy in systems handling enterprise-scale quantitative workloads .
• < >Agentic Systems : Contribute to building reasoning and agent-based orchestration workflows, enabling autonomous planning and decision loops.
• < >Founding Ownership : Work hand-in-hand with the founders to translate vision → working systems , influencing technical roadmap, architecture choices, and culture.
• eliability & Observability : Ensure high availability, performance, and transparency across the stack.
⸻
What We’re Looking For
• 6– 0 years of engineering experience, spanning backend development and data systems .
• P oven expertise in one or more of:
• < >Backend Systems : Distributed architectures, APIs, microservices, cloud infra.
• < >Data Systems & BI : ETL, OLAP, data warehouses (Snowflake, Redshift, BigQuery, ClickHouse, or similar).
• < >Analytics Platforms : Building pipelines for dashboards, anomaly detection, RCA, or simulations.
• < >Numerical Data Handling : High-volume, high-dimensional quantitative data optimization.
• S rong in Python, Java, or Go (polyglot mindset welcome).
• < >Bonus : Experience with agentic/AI systems or workflow orchestration.
• < >Startup DNA : Thrives in ambiguity, builds fast, and takes 10x ownership as part of a lean founding crew.
⸻
Why Join Us
• ounding Team Impact : Define the architecture, product DNA, and engineering culture.
• < >Cutting-Edge Domain : Operate at the intersection of AI, agentic reasoning, and enterprise decision intelligence.
• < >Equity + Ownership : Share in the long-term upside of what you help build.
• < >Vision & Scale : We’re building the Operating System for Enterprise Decisions — this is your chance to leave a mark.
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Senior Manager, Data Systems Architecture
Posted today
Job Viewed
Job Description
Job Summary
We are seeking an experienced and innovative Senior Manager, Data Systems Architecture to lead the design, creation, and evolution of system architectures for AI, analytics, and data platforms and systems within our organization. The ideal candidate will have extensive experience delivering scalable, high-performance data architectures across cloud platforms such as AWS, Google Cloud Platform, and Databricks, with a proven ability to align technology solutions with business goals.
This individual will collaborate with cross-functional teams, including data engineers, data scientists, and other IT professionals to create architectures that support cutting-edge data and AI initiatives, driving efficiency, scalability, and innovation.
Job Function and Responsibilities:
FUNCTIONAL KNOWLEDGE:
BUSINESS EXPERTISE:
ESSENTIAL SKILLS:
Data Analysis
Posted today
Job Viewed
Job Description
Position Overview
The UAT Analyst will be responsible for ensuring claim opportunities are maximized in the Out of Network Department through monitoring of inventory, routing of claims and ensuring quality measures are applied for best outcomes. The responsibilities are inclusive of monitoring claim volume and turnaround time, reviewing claim routing decisions made by associates, and identifying claim savings opportunities. All responsibilities encompassed include execution within both the Zelis Claim Management System and/or the Zelis Compass system. This role will also be part of the Out of Network ART Scrum Team and will be responsible for the end-to-end user acceptance testing of the new and enhanced features/services envisioned for planned releases.Professional Experience:
Education:
Data Analysis
Posted today
Job Viewed
Job Description
**Responsibilities**:
- Enhances the organization's human resources by planning, implementing, and evaluating employee relations and human resources policies, programs, and practices.
- Maintains the work structure by updating job requirements and job descriptions for all positions.
- Prepares employees for assignments by establishing and conducting orientation and training programs.
- Manages a pay plan by conducting periodic pay surveys; scheduling and conducting job evaluations; preparing pay budgets; monitoring and scheduling individual pay actions; and recommending, planning, and implementing pay structure revisions.
- Ensures planning, monitoring, and appraisal of employee work results by training managers to coach and discipline employees; scheduling management conferences with employees; hearing and resolving employee grievances; and counselling employees and supervisors.
- Implements employee benefits programs and informs employees of benefits by studying and assessing benefit needs and trends; recommending benefit programs to management; directing the processing of benefit claims; obtaining and evaluating benefit contract bids; awarding benefit contracts; and designing and conducting educational programs on benefit programs.
- Ensures legal compliance by monitoring and implementing applicable human resource federal and state requirements, conducting investigations, maintaining records, and representing the organization at hearings.