11+ Data archiving Jobs in Hyderabad | Data archiving 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.

Are you passionate about fashion, trends, and helping people look and feel their best? We're looking for a Fashion Consultant for one of our Fashion Merchandise Brand

Job Title: Fashion Consultant

Location: Chennai / Hyderabad / Bangalore / Coimbatore / Trichy / Kerala

Experience : 0 to 4 years

Department: Styling / Retail / Merchandising

Reports To: Store Manager / Creative Director / Brand Head

Job Type: Full-Time ( 6 days working)

Job Responsibility :

We are looking for a stylish, customer-focused, and trend-savvy Fashion Consultant to join our team. You'll play a key role in elevating the customer experience by offering personalized style advice, curating looks, and guiding product choices based on current trends and individual client needs. The ideal candidate has a strong eye for fashion, excellent communication skills, and the ability to translate trends into wearable, brand-aligned looks.

Interested candidates can share your profile immediately

Job Title:

Quality Control (QC) Engineer – Fresher

Experience:

Freshers (0–1 Year)

Job Summary

We are looking for a detail-oriented and enthusiastic Quality Control (QC) Engineer to join our QA team. The ideal candidate should possess strong knowledge of Manual Testing concepts and a working understanding of Automation Testing using Selenium and Java. The candidate will be responsible for ensuring software quality through test planning, execution, defect tracking, and validation activities.

Key Responsibilities

• Analyze business and functional requirements to create effective test scenarios and test cases.
• Perform comprehensive manual testing of web and enterprise applications.
• Execute Functional, Regression, Integration, System, Smoke, and User Acceptance Testing (UAT).
• Identify, document, track, and verify defects throughout the testing lifecycle.
• Validate bug fixes and perform retesting activities.
• Participate in test planning, test execution, and test reporting activities.
• Support automation testing efforts by executing and maintaining automation scripts.
• Collaborate with developers, business analysts, and stakeholders to ensure product quality.
• Prepare and maintain testing documentation and test evidence.

Required Technical Skills

Manual Testing

• Strong understanding of:
• Software Testing Life Cycle (STLC)
• Software Development Life Cycle (SDLC)
• Test Case Design Techniques
• Defect Life Cycle
• Functional Testing
• Regression Testing
• Integration Testing
• System Testing
• Smoke Testing
• Sanity Testing
• User Acceptance Testing (UAT)
• Test Planning and Test Execution
• Experience in defect reporting and tracking tools.
• Basic SQL knowledge for database validation and testing.

Automation Testing

• Working knowledge of Selenium WebDriver.
• Good understanding of Java programming fundamentals.
• Knowledge of TestNG or JUnit.
• Understanding of automation frameworks and test automation concepts.
• Experience with XPath, CSS Selectors, and Web Element Locators.
• Basic knowledge of Data-Driven and Keyword-Driven Frameworks.

Educational Qualification

• B.Tech
• B.Sc (Computers)

Preferred Skills

• Internship, certification, or project experience in Software Testing.
• Knowledge of API Testing tools such as Postman is an added advantage.
• Familiarity with version control tools such as Git.
• Good analytical and problem-solving skills.
• Strong communication and documentation skills. 

Role: MDM Data Specialist

Location: Bangalore/Hyderabad/Gurgaon/Mumbai

Key Responsibilities

• Manage and improve master data across customer, product, entitlement, account hierarchy, product catalog, subscription, contract, billing, and revenue domains.
• Configure and support MDM platform capabilities, including data models, match and merge rules, survivorship rules, hierarchy management, validation rules, workflows, reference data, and data quality rules.
• Support integration of master data between MDM platforms and operational systems such as Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud, billing, ERP, data lake, and reporting platforms.
• Assist with customer golden record creation, account hierarchy management, deduplication, data standardization, and Customer 360 enablement.
• Support product taxonomy and product catalog data needed for CPQ bundles, pricing rules, eligibility rules, commercial BOMs, and quote-to-cash automation.
• Maintain entitlement and subscription data, including customer-to-product mappings, lifecycle status, renewals, amendments, upsells, and install base visibility.
• Perform data profiling, cleansing, reconciliation, validation, issue resolution, and root-cause analysis across multiple systems.
• Document data definitions, business rules, source-to-target mappings, lineage, stewardship processes, and remediation actions.
• Partner with Sales Operations, Revenue Operations, Finance, Product Operations, Customer Success, IT, Data Governance, and Enterprise Architecture teams.

Required Qualifications

• 3-7+ years of experience in master data management, data governance, data quality, data operations, revenue operations, sales operations, product operations, or a related data role.
• Hands-on experience with an MDM platform such as Informatica MDM, Informatica IDMC, Reltio, or a comparable enterprise MDM solution.
• Experience in a SaaS, subscription, technology, or enterprise software environment.
• Working knowledge of CRM, CPQ, quote-to-cash, order-to-cash, billing, entitlement, subscription, contract, or revenue management processes.
• Experience with customer master, product master, product catalog, account hierarchy, entitlement, subscription, contract, billing, or revenue data.
• Understanding of MDM concepts such as golden record, match/merge, survivorship, reference data, hierarchy management, stewardship workflows, data quality rules, and cross-system synchronization.
• Strong analytical skills with the ability to investigate data issues across business processes and systems.
• Experience with data profiling, cleansing, standardization, deduplication, validation, reconciliation, and remediation.
• Strong documentation, communication, and stakeholder management skills.

Preferred Qualifications

• Experience with Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud, or broader Salesforce ecosystem data models.
• Experience integrating MDM platforms with Salesforce, CPQ, billing, ERP, data warehouse, or lakehouse environments.
• Experience with Informatica Customer 360, Product 360, Reference 360, Cloud Data Quality, Cloud Data Governance, or Reltio Connected Data Platform / Reltio Data Cloud.
• Familiarity with APIs, batch integrations, event-driven integrations, data pipelines, data lineage, metadata management, and access controls.
• Experience with CPQ product structures, bundles, pricing rules, discounting, quote lines, contracts, assets, subscriptions, and renewals.
• Familiarity with revenue management concepts such as ASC 606, IFRS 15, performance obligations, revenue recognition, and SOX controls.
• Experience with SQL, Excel, BI tools, data profiling tools, data catalogs, or cloud data platforms.
• Experience supporting quote-to-cash transformation, M&A data onboarding, or enterprise data modernization.

Looking for an experienced Teamcenter Lead Developer with expertise in Teamcenter customization, configuration, integration, and PLM solutions. The candidate should have strong experience in ITK, SOA, RAC, BMIDE, Teamcenter integrations, and enterprise system connectivity.

Job Description

Key Skills: 

Configure Teamcenter modules, workflows, and lifecycles as per business needs.

Develop and customize ITK, SOA, RAC, and BMIDE solutions.

Proficiency in C, C++, Java, JavaScript, XML, and SOA for Teamcenter development.

Collaborate with cross-functional teams, including engineering, manufacturing, and IT to ensure seamless PLM solutions.

Integrate Teamcenter with CAD (NX, CATIA, SolidWorks, etc.), ERP (SAP, Oracle), and other enterprise systems.

Troubleshoot and resolve Teamcenter application issues in a timely manner.

Provide training and mentorship to junior team members.

Mandatory Skills:

Develop and customize ITK, SOA, RAC, and BMIDE solutions.

Desired Skills:

Active Workspace configuration

Work on Teamcenter data migration, deployment, and performance optimization.

Knowledge in AI tools and AI capabilities of Teamcenter OOTB

Skills & Requirements

Teamcenter, ITK, SOA, RAC, BMIDE, Active Workspace, Teamcenter Configuration, Teamcenter Workflows, Lifecycle Management, Data Migration, Deployment, Performance Optimization, C, C++, Java, JavaScript, XML, CAD Integration, NX, CATIA, SolidWorks, SAP, Oracle, PLM, AI Tools, Teamcenter AI Capabilities

Data Engineering : Senior Engineer / Manager

As Senior Engineer/ Manager in Data Engineering, you will translate client requirements into technical design, and implement components for a data engineering solutions. Utilize a deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution.

Must Have skills :

1. GCP

2. Spark streaming : Live data streaming experience is desired.

3. Any 1 coding language: Java/Pyhton /Scala

Skills & Experience :

- Overall experience of MINIMUM 5+ years with Minimum 4 years of relevant experience in Big Data technologies

- Hands-on experience with the Hadoop stack - HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

- Strong experience in at least of the programming language Java, Scala, Python. Java preferable

- Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc.

- Well-versed and working knowledge with data platform related services on GCP

- Bachelor's degree and year of work experience of 6 to 12 years or any combination of education, training and/or experience that demonstrates the ability to perform the duties of the position

Your Impact :

- Data Ingestion, Integration and Transformation

- Data Storage and Computation Frameworks, Performance Optimizations

- Analytics & Visualizations

- Infrastructure & Cloud Computing

- Data Management Platforms

- Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

- Build functionality for data analytics, search and aggregation

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

REQUIREMENTS:

• Experience: 5.5-8.5 years
• Must Have: Design patterns (Expert), Game Development - General Experience, HTML5 (Expert), JavaScript (Expert), PixiJS
• Skills: ReactJS + HTML + CSS + ReactMaterialUI - Frontend developer with hands on experience in React JS Or Angular.
• Must has prior experience in developing microservices for customer facing channels. - Implementing pixel perfect design of components.
• Candidate should have good knowledge of working with React JS, NodeJS, advanced JavaScript, HTML5, CSS3,Mongo DB,
• Component-based frontend architecture along with how to design components in a way so that they can handle a big dataset.
• Unit testing, Code review and CI/CD process and flow.
• Knowledge of GitHub - Should have worked with tools like webpack.
• Code review tools like TSlint, Jslint, React-and, Redux-forms, super-agent is added advantage. Expectation: Spends 100% of time in implementing front end for all user stories.

RESPONSIBILITIES:

• Writing and reviewing great quality code
• Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project.
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it.
• Determining and implementing design methodologies and tool sets
• Enabling application development by coordinating requirements, schedules, and activities.
• Being able to lead/support UAT and production roll outs.
• Creating, understanding, and validating WBS and estimated effort for given module/task, and being able to justify it.
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
• Giving constructive feedback to the team members and setting clear expectations.
• Helping the team in troubleshooting and resolving of complex bugs
• Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

We are looking for a Senior Python Developer to produce large scale distributed software solutions. You’ll be part of a cross-functional team that’s responsible for the complete software development life cycle, from conception to deployment.

If you’re also familiar with Agile methodologies, we’d like to meet you.

Responsibilities:

Work with development teams and product managers to ideate software solutions Design client-side and server-side architecture Build the front-end of applications through appealing visual design Develop and manage well-functioning databases and applications Write effective APIs Test software to ensure responsiveness and efficiency Troubleshoot, debug and upgrade software Create security and data protection settings Write technical documentation

Requirements
Proven experience as a Python Developer or similar role Knowledge on Python, Django, MongoDB, Elasticsearch, AWS Excellent communication and teamwork skills Great attention to detail Organizational skills An analytical mind Experience on Apache Kafka, Hbase and Graph DB is an added bonus