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Hi Shanon, As discussed we have one open req for AI role. The right skill set I am looking for is experience with RAG pipelines, Performance monitoring of prompts and tuning. Multi model RAG and agentic AI soon but not night away. Needless to say Python and the NLP lib experience is a must. Database knowledge is also essential. The developer needs to be in Morgan Stanley offices 3 days per week. BLR location is preferred, if not Mumbai is also fine. The duration is long term since we are looking to expand the use cases Please let me know if you have any questions. 

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.

• Strong experienced Product Design Profile
• Mandatory (Experience 1) – Must have 8+ YOE in Product Design, with a focus on B2C or B2B2C Products
• Mandatory (Experience 2) – Must have strong experience in Project Management - Using Jira and other similar tools to manage projects efficiently
• Mandatory (Designation) – Must be Manager / Staff or above designation in Current role
• Mandatory (Team Managememt) - Must have atleast recent 2+ YOE as a Team Manager (Not mentoring, should be in a complete Manager role)
• Mandatory (Portfolio) - Must have strong High-fidelity UI Designs, Interaction models, and Design systems for Large-scale B2C Products
• Mandatory (Company) - Large-Scale B2C Products
• Mandatory (Gender) - Male candidates only

Preferred

• Preferred (Experience) - Retail domain experience

Job Description.

1.      Cloud experience (Any cloud is fine although AWS is preferred. If non-AWS cloud, then the experience should reflect familiarity with the cloud's common services)

2.      Good grasp of Scripting (in Linux for sure ie bash/sh/zsh etc, Windows : nice to have)

3.      Python or Java or JS basic knowledge (Python Preferred)

4.      Monitoring tools

5.      Alerting tools

6.      Logging tools

7.      CICD

8.      Docker/containers/(k8s/terraform nice to have)

9.      Experience working on distributed applications with multiple services

10.  Incident management

11.  DB experience in terms of basic queries

12.  Understanding of performance analysis of applications

13.  Idea about data pipelines would be nice to have

14.  Snowflake querying knowledge: nice to have

The person should be able to :

Monitor system issues

Create strategies to detect and address issues

Implement automated systems to troubleshoot and resolve issues.

Write and review post-mortems

Manage infrastructure for multiple product teams

Collaborate with product engineering teams to ensure best practices are being followed.

• Budget: Management of budget for Hardware Asset Management tools, services and staffing (permanent and temporary)
• Talent management: Permanent, contract, temporary and graduate trainees
• Matrix management: Management of staff with Hardware Asset Management responsibility in other business units
• Lead third-party Hardware Asset Management resources: Supervisory responsibility for third-party resources supporting Hardware Asset Management activity
• Financial: Oversight of spending on technology asset support, which includes hardware, software, cloud services, support, maintenance and hardware disposal
• Environment: Endpoints and edge devices, software and service asset vendors, on-premises data center assets, and cloud services
• Other: Liability management and remediation tracking

The IT asset manager will:

• Ensure that appropriate resources (people, tools, services) and processes are in place to gather and analyze data relating to technology asset life cycles and related processes.
• Promote and advocate the value of Hardware Asset Management to various leaders. This includes developing and promoting effective Hardware Asset Management strategies, policy, approaches and practices across the full range of digital technology assets used within the organization.
• Identify and report on breaches of Hardware Asset Management policy, and track remedial action.
• Report on (or develop reporting on) remediation of digital technology asset-related risks and progress of optimization activity.
• Ensure accurate and timely reporting, and that data completeness and quality issues are quickly identified and escalated to the responsible data or process owners.
• Gather data on and provide analysis of all activities that have an impact on the value, cost and risk of digital technology asset life cycles.
• Provide finance with the data to support the analysis of digital technology asset project and maintenance budgets and business cases.
• Assign responsibilities for sub disciplines, such as IT asset disposition (ITAD).
• Ensure that Hardware Asset Management -related tools and services are properly evaluated, selected, implemented, configured and maintained, with appropriate integration with other sources of organizational data.
• Provide access to technology asset data in support of essential activities required to support the effective running of the business.
• Manage the everyday functions of the core Hardware Asset Management team. This includes staffing, budgeting and other relevant management functions required to hold all IT and business stakeholders accountable for optimizing the cost, risk and benefit of digital technology assets throughout their life cycle.
• Managing the deployment and collection of devices and other hardware assets to the associates or offices.

The IT asset manager acts in a leadership role and must demonstrate the following leadership attributes:

• Strategic thinking — An understanding of strategic business objectives and the ability to develop a vision and strategy for Hardware Asset Management and execute it effectively in order to drive results toward those objectives
• Interpersonal skills — Proven ability to collaborate, build relationships and influence individuals at all levels in a matrix management environment (as well as external vendors and service providers) to ensure that segregation and overlapping roles are identified and coordinated
• Strategic relationship management — Includes working with vendors during compliance audits
• Strategic vision — Ability to sense emerging needs and drive change as Hardware Asset Management develops and matures to meet organizational and technology challenges

The Hardware asset manager must have the following skills:

• Strong communication skills with a proven ability to understand key business and technical concepts, and then effectively communicate these concepts with technical staff, business stakeholders and senior management
• Strong organizational skills, the ability to perform under pressure and to manage multiple priorities with competing demands for resources
• Strong analytical, data processing and problem-solving skills
• Proficiency in process formulation and improvement
• Ability to read and interrupt contracts to properly manage digital technology, which includes license and maintenance agreements
• Ability to manage the deployment and collection of devices and other hardware assets to the associates or offices in a large scale. Demonstrable experience of managing assets in hundreds of thousands will be required.

The Hardware asset manager must have in-depth knowledge and experience of the following:

• Technology asset life cycle (whether digital technology, information, financial or physical assets), best practice governance, tools and services
• Policy, process, and procedure development and implementation
• Technology contracts and their likely cost implications through the technology asset life cycle
• Engagement with sourcing, procurement and vendor management legal, tax and accountancy advisors for additional information
• Data processing, analysis and quality management tools
• Ability to manage effective deployment, collection and disposition of assets and managing the devices through its lifecycle

Additionally, an understanding of IT business continuity, cybersecurity, and integrated risk management and optimization methodologies is highly desirable, along with knowledge of IT management.

The following experience is considered essential:

• A management role, including engagement with sourcing, procurement and vendor management, business stakeholders and frontline operational IT staff
• Prior Hardware Asset Management roles (hardware or software) or demonstrable experience of working with IT asset management professionals to deliver Hardware Asset Management capability and improved business outcomes
• Atleast 16 years of experience with IT, enterprise asset management or information management
• Demonstrated leadership experience building cross-organizational consensus with exposure to technology providers and/or business clients
• Demonstrated experience in liaising with middle and senior management
• Experience with building business requirements for digital technology tools and services, developing business cases, and selecting solutions using RFP documentation and processes
• Experience leading system or tool implementations, with responsibility for verifying capabilities, outputs, dependencies and implementation scope
• Experience managing deployment, collection and disposition of assets in a large scale with globally distributed workforce.

The following experience is considered desirable, but not mandatory:

• 13+ years of experience working in the working in a large IT/ITeS organization
• 13+ years of experience in managing external IT service providers handling digital technology assets
• Experience with ServiceNow platform

This is a sensitive role dealing with commercial risks and significant costs. The organization must have a high level of confidence in the integrity and track record of the individual appointed to this role.

The following certifications are considered desirable, but not mandatory:

• ITIL v3 Foundation certification
• Certified IT Asset Manager
• COBIT 5 Foundation

• An undergraduate or postgraduate degree in finance, IT, engineering, business management or a related field
• Tertiary qualifications in financial accounting, project management or data analysis, or a legal or paralegal qualification that includes contract, copyright or intellectual property law are preferred

Greetings from Analyttica Datalab. We are currently seeking an Analytics Manager to join our team!

If you are looking for a place to grow your skills and share our values this can be the right opportunity for you.

• Role: Analytics Manager
• Relevant Experience: 7-9 Years
• Type of Role: Full-Time
• Notice Period:1 Month or Less (Immediate Joiners-Preferred)
• Mandatory Skills: Data Analytics, Marketing Analytics, A/B Testing, SQL, Logistic Regression, Segmentation, Customer Analytics, Fintech, Python
• Work Location: Bangalore

About Us

We are fast growing technology enabled advanced analytics and data science start-up. We have clients in USA and India and those two geographies are our current market focus. We are developing

an Artificial Intelligence (AI) embedded data science and analytics product platform (patented in US) with a series of offerings to solve real world problems. We have a world-class team of in-house

technocrats, external consultants, SMEs, data scientists, and experienced business professionals driving the product journey.

What Can You Expect?

Along with the commercial aspects of the engagement (no bar for the right candidate), you can expect an agile environment, with progressive culture and state of the art workplace. You will be presented with a great learning opportunity, while interacting with people from diverse background with the depth and breadth of experiences. Our technical, SME, and business leadership team comprises of each professional with 15+ years of experience and strong credibility to their names.

What Role You Are Expected To Play?

As a Product Analytics Manager focused on growth, you’ll be responsible for guiding the Product Analytics feature and experimentation roadmap which may include but is not limited to go-to-market strategy for partnerships and application of analytics for optimizing the acquisition funnel strategy for our client. Specifically,

you will be responsible for driving higher originations by converting web and app visitors to long-term customers.

Roles and Responsibilities:

• Ability to work hands-on on the top prioritized and strategic initiatives to drive business outcomes.
• Lead and mentor a team of sr. analysts and analysts, fostering a culture of collaboration and data-driven decision-making.
• Work closely with US stakeholders and manage expectations on project delivery, team management and capacity management.
• Develop and implement measurement strategies across marketing and product initiatives, ensuring data accuracy and integrity.
• Conduct in-depth analyses of marketing and product performance, identifying key trends, opportunities, and areas for improvement.
• Design and execute A/B tests to optimize marketing campaigns and product features.
• Prior experience in lifecycle marketing and product cross-selling is preferred.
• Develop and maintain dashboards and reports to track key metrics and provide actionable insights to stakeholders.
• Collaborate closely with cross-functional teams (marketing, product, engineering) to understand business needs and translate data into actionable recommendations.
• Stay up to date on industry trends and best practices in analytics and data management.
• Own the delivery in-take, time management and prioritization of the tasks for your team, leveraging JIRA
• Prior experience working for a US based Fintech would be preferred.

Essential Experience and Qualification:

• Minimum 7 years of experience in marketing and/or product analytics.
• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics). Master's degree is a plus.
• Proven expertise in SQL and data management.
• Hands-on experience with Python and advanced analytics techniques (e.g., regression analysis, classification techniques, predictive modeling).
• Hands-on experience with data visualization tools (e.g., Tableau, Looker).
• Hands-on exposure to Git & JIRA for project management.
• Strong understanding of A/B testing methodologies and statistical analysis.
• Excellent communication, presentation, and interpersonal skills.
• Ability to manage multiple projects and deadlines effectively.
• Coach and mentor team members on refining analytical approach, time management & prioritization.
• Prior experience working in a fast paced environment and working with US stakeholders

People & Culture

As a company, we believe in working hard and

letting our passion drive us to dream high and

achieve higher. We inspire innovation through

freedom of thought and creativity, and pursue

excellence while ensuring that our integrity

and ethical foundation remain strong.

Honesty, determination, and perseverance

form the core of our value system. Analyttica’s

versatile talent fulfils our value proposition by

taking on fresh challenges and delivering

solutions that blend skill and intuition (science

and art). Understanding the customer/partner

mindset helps us provide technology enabled

scientific solutions at scale for sustainable

business impact.

Industry

Who are we?

Founded with the mission to radically accelerate enterprises business transformation, JIFFY.ai’s intelligent platform empowers business users to adapt to change and innovate faster. We strive to create applications with delightful user experiences backed up by automated middle and back office capabilities. The platform employs the cognitive capabilities of no-code-based software development, Intelligent Document Processing, Natural Language Processing, RPA, Machine Learning, intuitive user interfaces and AI along with an overarching human-in-the-loop approach to power the next generation of enterprise applications. Explore further on www.jiffy.ai.

Success in the Role:

This role is an opportunity for an Engineering Leader looking for their next growth opportunity. As a leader, you will help us build and scale our team as our product grows and reaches new customers. This role requires technical and interpersonal skills to work with multiple teams, passion for solving problems, a focused approach towards growing people, expertise in product quality, automation and for delivering results.

As an Engineering Director, you will:

Lead the teams that enables our customers to build the middleware and backend of their products using our no code platform. We are a SaaS platform that allows our customers from different domains to build web scale applications online.

In this position, you are responsible for people management and product deliveries. It requires hands on Java and/or Golang development experience. Your responsibilities include

• Hire, mentor and motivate your teams.
• Plan and manage scrums and deliveries.
• Knowledge of cloud deployments, security and scalability concerns.
• Contribute to the design and develop of Java and GoLang based micro services.
• Expertise in scalable systems, including APIs, middleware and database systems.
• Create efficient development, build, packaging and deployment processes for Java and GoLang micro services.
• Review code and enforce best coding, security and test practices.

Work Experience and Skills required:

• Overall 15+ years of experience
• Experience in managing technical teams for 5 years.
• At least 10+ years of Java and/or Golang development experience in the relevant domain
• Worked on a product or SaaS platform
• Good communication and negotiation skills

What is leadership like for this role? What is the structure and culture of the team like?

This role will be reporting to the VP, Engineering. Our team’s focus is on challenging the status quo by innovating in a Jiffy. We believe in building a high performing organization and committing to make our customers successful.

We have cross functional teams organized around different platform components with clear responsibility and accountability. At the same time, engineers with horizontal technical skills like Java and GoLang development report to one leader to bring consistency and best practices across the entire platform.

What are the benefits and perks of working at JIFFY.ai?

• Hybrid Work : We have a hybrid working environment with at least 3 days in the office
• Programmes tailored for our people - People Development programmes, Appreciation programmes, Leadership & Mentorship programmes, Communication Programmes, Engagement programmes (JoyofJIFFYians)
• Workplace practices made for people well-being - Weekend Work Monitor, Low Call/No Call Wednesday, and Knowledge Sharing Sessions.
• Token of Appreciation-Early appraisal guaranteed with best Pay-Per-Performance Policy. Compensation off and overtime benefits are offered
• We appreciate the efforts in bringing in top talents -Our people receive generous monetary benefits for successful referrals as a Referral Bonus.
• Grants- Different allowances and perks are designed to support and benefit JIFFYians.
• Medical Coverage, Retirement, and Parental Leave Plans for All Family Types

Java Full Stack Developer

Experience required-4.5 to 7yrs

Mandatory Skills- Front end- HTML, CSS, Javascript, Angular/React

Back end- Java, Springboot/Node/Python, Any SQL/RDBMS, OS

Jenkins for Deployment

Well-established, Canadian company is looking for a representative in five different locations, as our business is growing. 

The person will be responsible for reaching out the immigration agencies to offer commission-based services, such as Travel, Visitor to Canada Insurance, financial services and many more.  

Preferred qualifications:

Intermediate English

Experience in sales

Financial services knowledge

Critical thinking 

Self-starting ability

KEY BENEFITS:

• Highly flexible, Work around your own schedule.
• Work from your laptop, from home or from the office. It is up to you!

We offer variable income—strong pay for performance incentive package.