
Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data
solutions, from data architecture and ingestion to processing, analysis, and reporting. This role
ensures that data projects are completed on time, within scope, and aligned with business
objectives. The Data Delivery Manager works with cross-functional teams, including data
engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key
Responsibilities: Project and Program Management: o Lead and manage the delivery of data-
driven projects, ensuring they are completed on time and within budget. o Develop and maintain
project plans, timelines, and resource allocation. o Monitor project progress and proactively
identify risks, implementing solutions to ensure successful project completion. o Ensure alignment
between data initiatives and business goals, maintaining continuous communication with
stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business
stakeholders and the data team, translating business requirements into technical specifications. o
Collaborate with business leaders to understand data needs and develop solutions that meet
those needs. o Provide regular updates on project status, risks, and key deliverables to
stakeholders and leadership teams. o Facilitate meetings to gather requirements and
communicate project milestones. Data Strategy & Architecture: o Oversee the design and
implementation of data solutions that support business objectives. o Ensure adherence to data
governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data
architects to define scalable, secure, and high-performance data architectures. o Support data
integration initiatives across different platforms, ensuring smooth and efficient data flow. Team
Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and
other professionals to deliver projects effectively. o Provide leadership and mentoring to team
members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear
expectations, performance goals, and career development opportunities for the team. o Address
and resolve any team challenges, ensuring high levels of productivity and motivation. Quality
Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust
testing, validation, and review processes. o Develop and enforce data standards, best practices,
and methodologies to ensure consistent, high-quality deliverables. o Drive continuous
improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk
Management and Troubleshooting: o Identify potential risks to project delivery, including data
pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o
Troubleshoot and resolve data-related issues and challenges during the project lifecycle.
Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and
performance metrics. o Ensure that data solutions provide actionable insights for the business,
driving informed decision-making. Experience: o 5+ years of experience in managing programs
related to data management, data engineering, or analytics. o Proven track record in managing
data projects and delivering data solutions in a timely manner. o Experience with data integration,
data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL
processes, and data analytics. Skills: o In-depth knowledge of data management tools and
technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure).
o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership
and team management skills, with the ability to drive collaboration across different functions. o
Excellent communication skills with the ability to translate complex data-related concepts into
understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-
solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau,
Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master
certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google
Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies
(e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data
solutions. o Experience with data governance and compliance (e.g., GDPR).

Similar jobs
Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.
2
Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.
3
Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.
4
Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.
5
Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.
6
Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing.
7
Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.
8
Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.
9
Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.
10
Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered
11
Mandatory (Age) - Candidate's Age should be below 37 years.
Job description
urgent opening for Upstox Insurance
SALARY :upto 24k to 25k take home
Need mandatory insurance exp
Min qualification : HSC
shift time- 9:30 to 6:30
Rotational week off
UNLIMITED INCENTIVES
Location - Thane , Mumbai
Job Title: QA Engineer – Blockchain / Web3 / DApps
Location: Noida (Onsite)
Experience: 3+ Years
About the Role
We are looking for a detail-oriented QA Engineer with hands-on experience in Blockchain, Web3 Wallets, and Decentralized Applications (DApps). The ideal candidate will ensure the reliability, performance, and security of blockchain-based products through both manual and automated testing.
Key Responsibilities
- Design, develop, and execute test cases for Blockchain applications, Web3 Wallets, and DApps.
- Perform functional, integration, regression, and performance testing across blockchain ecosystems (Ethereum, Polygon, BSC, etc.).
- Test Web3 wallet integrations (MetaMask, Trust Wallet, WalletConnect, Coinbase Wallet).
- Validate smart contracts using Hardhat, Truffle, Remix IDE, and Blockchain Explorers (Etherscan, Polygonscan, BSCscan).
- Conduct API testing (REST, GraphQL, Web3 APIs) using Postman, Newman, and Insomnia.
- Automate UI & functional tests using Selenium, Cypress, or Playwright.
- Perform mobile DApp testing using Appium.
- Collaborate with developers, product managers, and blockchain engineers to identify and resolve defects.
- Document test plans, strategies, and reports in Confluence/JIRA.
- Participate in CI/CD pipelines for test automation (Jenkins, GitHub Actions).
Required Skills & Tools
- Blockchain & Web3: Ethereum, Polygon, Binance Smart Chain, Ganache, Hardhat, Truffle, Remix IDE
- Wallet Testing: MetaMask, Trust Wallet, WalletConnect, Coinbase Wallet
- Automation & QA Tools: Selenium, Cypress, Playwright, Appium
- API Testing: Postman, Newman, Insomnia
- Performance Testing: JMeter, Locust, k6
- Version Control & CI/CD: Git, GitHub, GitLab, Jenkins, GitHub Actions
- Bug Tracking & Collaboration: JIRA, Trello, Confluence
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 3+ years of QA experience, with at least 2 years in Blockchain/Web3.
- Strong understanding of smart contracts, wallets, and decentralized apps.
- Hands-on experience with test automation frameworks and API testing.
- Excellent problem-solving, debugging, and communication skills.
Responsibilities:-
- Extensive hands-on experience with frontend technology React Native.
- Build dynamic and reusable components using React Native
- Implement state management for better app performance.
- Use modern JavaScript features for efficient and maintainable code.
- Improve page load times with lazy loading, code splitting, and caching, while ensuring code quality through unit and integration testing.
Requirements:-
- 3-5 years of experience in frontend development working in a fintech industry, with a focus on highly scalable systems.
- Excellent leadership and communication skills, with experience managing teams of engineers and coordinating cross-functional efforts.
- Ability to solve complex problems under pressure, with a focus on delivering innovative solutions.
- Strong decision-making ability in fast-paced, dynamic environments.
- Self-motivated, proactive, and able to work independently while also collaborating in a team.
#HiringAlert
We are looking " Oracle Forms & Reports Developer " for Reputed Client @ Permanent Role.
Work Experience: 8+ yrs.
Must Have Skills
1.Experience in Oracle Forms and Reports
2. Should be familiar with various triggers, events, canvas, master child forms, record groups, build-ins, properties etc., in Forms and reports.
3.Experience in SQL / PLSQL concepts
4. Experience in writing Procedure / Function / Packages Datatypes, Constraints, index
5.Experience in the user of Cursors / Collections / Exception handlingGood to Have Skills
1.Experience in production support and troubleshooting will be an added advantage.
2. Having exposure to JavaScript and ReactJS will be an added advantage.Key Responsibilities
1.Participate in meetings / discussions for business requirements.
2.Ensuring Documentation and on time delivery of the development works
3.Coordinate with business user for UAT support and resolutions
4.Provide weekly / monthly development and support status report.Professional Attributes
1.Should be able to work independently with minimal supervision.
2.Should be willing to work in EST timing based on project requirements.
3.Communication should be excellent as the position requires direct interaction with business users from the US.
Educational Qualification: B. E, B. TECH, master’s or Any graduation
Location : Chennai
Knowledge & Experience required:
· Bachelor's degree in Computer Science Engineering or equivalent degree.
· 7 years of development experience as a seasoned Java developer
· 7 years of experience in developing enterprise applications using enterprise Java 8 and has worked both on Web and Server side technologies.
· A strong Java Backend Developer with Core Java 8, Spring, Spring Boot, Hibernate, REST Web-services.
· Expertise in Java Unit Testing Frameworks and tools such as JUnit, TestNG, Mockito etc.
· As a Senior developer, must be comfortable switching tasks between Web Services, APIs, Batch Job engine or Web Development.
· Passionate Java developer who is also a problem solver and has a very good understanding of core and advanced Java concepts.
· Good understanding of database and data fundamentals in SQL Server 2017, Oracle and NoSql databases.
· Good understanding of Web Service concepts and experience building RESTful services is required.
We are looking for a candidate for Full-stack Developer
- Experience - 3-5 yrs
- CTC to Offer - 10-15 Lacs
- Work Location - Mumbai / Chennai
Technical Skill set :
Front End: React JS / Ionic Framework
Back End: Spring Boot / Java
Database: Relational Database
Code Repository: GIT or similarProject Experience :
- Should have developed minimum 2 projects with the above tech stack end to end with each project duration of minimum of 6 months
- Should have developed REST/JSON APIs with Spring Boot
- Should be able to develop a module independently end to end
- Should be able to design a simple database
- Should be able to understand and clarify client requirements
- Should be able to write FSDs
- Should be able to write unit test cases manually or using tools
- Should have worked with Service-oriented architecture
- Should know about code maintenance, code review, unit testing
Job Requirements-
Mandatory:
1. 2 - 3 years of J2EE experience
2. Clear understanding and application knowledge of Object-Oriented concepts
3. Experienced in Core Java, Collection Framework, exception handling, logging frameworks
4. Knowledge of Struts/Spring/Springboot framework or any ORM tools like Hibernate, JPA mandatory
5. Knowledge of SQL
Desirable to have:
1. Code review tools like pmd, sonar, Checkstyle
2. Knowledge of writing unit testing using Junit, Jmock, DBUnit etc.,
3. Knowledge to build scripts using ant, maven
4. Exposure to Agile Model
5. Exposure to BFSI domain
Team Handling/Generic skills
1. Self-driven, ready to learn and adapt depending on customer/organization needs
2. Excellent communication skills
Share resumes at ruchika@ netconnectglobal.com
We are looking for a digital marketing intern eager to learn the ins and outs of marketing online, from strategy to execution. Interns will work with the digital and field marketing team to learn how marketing works across spaces and assist in the day to day digital marketing activities of INKPROG applications.
Responsibilities include:
- Create SEO strategies, techniques and tactics to improve the website's organic reach on all major search engines.
- Modify website architecture, content, linking and other factors to improve SEO positions for target keywords.
- Learn and execute SEM strategies and Internet marketing methods like pay per click advertising and paid directories.
- Monitor and mitigate website's performance with the help of analytics tools and digital measurement methods.
- Learn and implement social media campaigns (Facebook, Twitter, Instagram, etc.) and digital campaigns using Google AdWords.
- Work with graphics and content team for ads, creative and artwork for PPC campaigns.
- Generate and share content daily that builds meaningful connections.
- Setting up and optimizing company pages within each social media platform
- Continuously improve by capturing and analyzing the appropriate social data/ metrics, insights and best practices, and then acting on the information.
- Analyze Past Content to Improve Posts
- Optimize Visual Content
- Target Website Visitors with Social Ads
- Create a Social Media Channel Plan












