Data Scientist

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).

Location : Navi Mumbai

Experience : 6 to 10 years

Compensation : Upto 27 LPA (Commensurate with Experience)

Key Responsibilities:

• Banking industry Experience, preferably in Securities Lending Domain (LAS – Loan against securities).
• Solution experience in one of more of the following Lending areas :- Business Process Automation, Credit & Portfolio Analytics, Commercial Loan Product, Loan Servicing and Risk Management.
• Familiar with multiple securities events i.e. Share sale, Corporate action, Revaluation, DP & LTV Calculations etc.
• Should be able to play catalyst role between business and IT.
• Good Communication skills with ability to lead domain discussions with BFSI Stakeholders.
• Should be able to provide domain support to development and technical teams on core Securities Lending domain.
• Provide support to business teams in terms of answering questions, clarifying requirements, and resolving issues as they arise during design and development.

Brief:

We are pursuing a complex set of problems that involve building for an international audience and for an industry that has largely been service-centric. As an SDE at GradRight, you’ll bring an unmatched customer-centricity to your work, with a focus on building for the long term and large scale.

You’ll contribute to frameworks that enable flexible/scalable customer journeys and tying them with institutional knowledge to help us build the best experiences for students and our partners.

Responsibilities:

1. Contribute to design discussions and decisions around building scalable and modular architecture
2. Build clean, modular and scalable backend services
3. Participate in sprint ceremonies and actively contribute to scaling the engineering organization from a process perspective
4. Stay on top of the software engineering ecosystem and propose new technologies/methodologies that can be adopted
5. Contribute to engineering hiring by conducting interviews
6. Champion infrastructure as code mindset and encourage automation
7. Manage and mentor a small team of junior engineers

Requirements:

1. At least 4 years experience as an SDE, building large scale services
2. Extensive experience in at least one programming language and ability to write maintainable, scalable and unit-testable code
3. Strong understanding of software design principles and patterns
4. Excellent command over data structures and algorithms
5. Passion for solving complex problems
6. Good understanding of various database technologies with strong opinions around their use cases
7. Experience with performance monitoring and scaling backend services
8. Experience with microservices and distributed systems in general
9. Experience with team management
10. Excellent written and verbal communication skills

Good to have:

1. Experience working with node.js, MongoDB and Google Cloud
2. Experience in CI/CD and cloud infrastructure management
3. Worked on products that addressed an international audience
4. Worked on products that scaled to millions of users

Job Summary:

A Project Manager is responsible for planning, executing, and closing projects while ensuring they meet their objectives, are completed on time, within scope, and within budget. They lead cross-functional teams, communicate with stakeholders, and manage project risks.

Key Responsibilities:

Project Planning:

Define project scope, goals, and deliverables.

Develop a detailed project plan, including schedules, budgets, and resource allocation.

Create a project timeline and set milestones.

Team Leadership:

Assemble project teams and assign responsibilities.

Provide clear direction and motivation to team members.

Foster collaboration and effective communication among team members.

Resource Management:

Allocate and manage project resources, including personnel, equipment, and materials.

Monitor resource utilization and adjust as needed to meet project goals.

Risk Management:

Identify potential project risks and develop risk mitigation strategies.

Proactively address issues that may impact project success.

Budget Management:

Create and manage the project budget.

Monitor project expenditures and ensure they stay within budget constraints.

Quality Control:

Establish and monitor project quality standards.

Conduct regular quality assessments and take corrective actions as needed.

Communication:

Maintain open and clear communication with stakeholders, team members, and project sponsors.

Provide regular project status updates and reports.

Documentation:

Maintain accurate project documentation, including project plans, schedules, and reports.

Ensure all project documentation is organized and easily accessible.

Change Management:

Handle changes to project scope or requirements and assess their impact on the project.

Seek approvals for changes when necessary.

Project Closure:

Ensure all project deliverables are met and approved.

Conduct a project post-mortem to evaluate the project's success and identify areas for improvement.

Regards, 

HR Team 

ACE Online 

Required Python ,R

work in handling large-scale data engineering pipelines.
Excellent verbal and written communication skills.
Proficient in PowerPoint or other presentation tools.
Ability to work quickly and accurately on multiple projects.

If you are passionate about the internet space, possess exceptional attention to detail, are an expert communicator, and above all, have a risk-taking attitude, then this highly visible role is for you!

• Researching and prospecting potential clients
• Using all channels to connect and generate leads
• Giving impactful product demo and generating business
• Managing all prospects and building pipeline for new business accounts
• Actively maintaining and expanding client outreach in the market
• Mentoring and leading other junior sales associates

What you need to have:

• 2+ years of experience selling
• Experience in tech sales is a huge plus
• Minimum 1 yr experience working in international market (US, EU, MEA, APAC)
• Exposure of handling client relationship in any form
• Aptitude for sales and hunger for success
• Excellent communication and negotiation skills
• Strong analytical, problem-solving ability
• Efficient time management and a never give-up attitude

About Company

Espressif Systems is a multinational, fabless semiconductor company established in 2008, with headquarters in Shanghai and offices in Greater China, India and Europe. We have a passionate team of engineers and scientists from all over the world, focused on developing cutting-edge WiFi-and-Bluetooth, low-power, IoT solutions. Among our popular products are the ESP8266 and ESP32 series of chips, modules and development boards. Espressif has opened a Technology Center in Pune(Baner), India, which will focus on embedded software engineering and IoT solutions development for our growing customers.

At Espressif, communication, collaboration and innovation are of paramount importance. That's why professionals and engineers from around the world have chosen to further their careers at Espressif Systems. They are passionate and committed to developing innovative products. And they are here to ensure that fast,secure and green IoT technology can be available to all. Come and join Espressif, so that you, too, can partake in Espressif's mission in the IoT industry.

BASIC QUALIFICATIONS

• M.Tech/B. Tech in the field of VLSI/Electronics engineering. 
• Proficiency in UVM/SV and C/C++ based functional verification 
• Experience in UPF based low power design verification
• Automation skills in PERL and/or TCL and/or Shell* 
• Team player, with good problem solving and communication skills. 

JOB DESCRIPTION 

• Drive functional verification at IP/SoC level using UVM/SV test bench
• Work closely with design team to define comprehensive feature test plans
• Perform functional and code coverage for logic verification sign-off
• Must have worked on ARM/RISC-V CPU based designs
• Must have performed gate level sim at SoC level
• Pre and Post-silicon debug/validation experience will be a plus

INTERPERSONAL SKILLS:

• Energetic, self-motivated
• Pro-active, oriented on execution
• Attentive to details and quality
• Team player
• Good communications and reporting skills