
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).

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Salary: 15K to 25K
Experience: 2-3 Years
Location: 1201, Gopal Heights, Netaji Subhash Place, Pitam Pura, Delhi, 110034
Regards
99webmart




Job Description:
We are looking for an exceptional Data Scientist Lead / Manager who is passionate about data and motivated to build large scale machine learning solutions to shine our data products. This person will be contributing to the analytics of data for insight discovery and development of machine learning pipeline to support modeling of terabytes of daily data for various use cases.
Location: Pune (Initially remote due to COVID 19)
*****Looking for someone who can start immediately / Within a month. Hands-on experience in Python programming (Minimum 5 Years) is a must.
About the Organisation :
- It provides a dynamic, fun workplace filled with passionate individuals. We are at the cutting edge of advertising technology and there is never a dull moment at work.
- We have a truly global footprint, with our headquarters in Singapore and offices in Australia, United States, Germany, United Kingdom and India.
- You will gain work experience in a global environment. We speak over 20 different languages, from more than 16 different nationalities and over 42% of our staff are multilingual.
Qualifications:
• 8+ years relevant working experience
• Master / Bachelors in computer science or engineering
• Working knowledge of Python and SQL
• Experience in time series data, data manipulation, analytics, and visualization
• Experience working with large-scale data
• Proficiency of various ML algorithms for supervised and unsupervised learning
• Experience working in Agile/Lean model
• Experience with Java and Golang is a plus
• Experience with BI toolkit such as Tableau, Superset, Quicksight, etc is a plus
• Exposure to building large-scale ML models using one or more of modern tools and libraries such as AWS Sagemaker, Spark ML-Lib, Dask, Tensorflow, PyTorch, Keras, GCP ML Stack
• Exposure to modern Big Data tech such as Cassandra/Scylla, Kafka, Ceph, Hadoop, Spark
• Exposure to IAAS platforms such as AWS, GCP, Azure
Typical persona: Data Science Manager/Architect
Experience: 8+ years programming/engineering experience (with at least last 4 years in Data science in a Product development company)
Type: Hands-on candidate only
Must:
a. Hands-on Python: pandas,scikit-learn
b. Working knowledge of Kafka
c. Able to carry out own tasks and help the team in resolving problems - logical or technical (25% of job)
d. Good on analytical & debugging skills
e. Strong communication skills
Desired (in order of priorities)
a.Go (Strong advantage)
b. Airflow (Strong advantage)
c. Familiarity & working experience on more than one type of database: relational, object, columnar, graph and other unstructured databases
d. Data structures, Algorithms
e. Experience with multi-threaded and thread sync concepts
f. AWS Sagemaker
g. Keras

Our client focuses on providing solutions in terms of data, analytics, decisioning and automation. They focus on providing solutions to the lending lifecycle of financial institutions and their products are designed to focus on systemic fraud prevention, risk management, compliance etc.
Our client is a one stop solution provider, catering to the authentication, verification and diligence needs of various industries including but not limited to, banking, insurance, payments etc.
Headquartered in Mumbai, our client was founded in 2015 by a team of three veteran entrepreneurs, two of whom are chartered accountants and one is a graduate from IIT, Kharagpur. They have been funded by tier 1 investors and have raised $1.1M in funding.
What you will do:
- Developing a deep understanding of our vast data sources on the web and knowing exactly how, when, and which data to scrap, parse and store
- Working closely with Database Administrators to store data in SQL and NoSQL databases
- Developing frameworks for automating and maintaining constant flow of data from multiple sources
- Working independently with little supervision to research and test innovative solutions skills
Desired Candidate Profile
What you need to have:- Bachelor/ Master’s degree in Computer science/ Computer Engineering/ Information Technology
- 1 - 5 years of relevant experience
- Strong coding experience in Python (knowledge of Java, JavaScript is a plus)
- Experience with SQL and NoSQL databases
- Experience with multi-processing, multi-threading, and AWS/Azure
- Strong knowledge of scraping frameworks such as Python (Request, Beautiful Soup), Web Harvest and others
- In depth knowledge of algorithms and data structures & previous experience with web crawling is a must
Job Responsibilities:
1.Make 20 Calls each day to filter and qualify leads as per the program suitability
2.Conduct min of 18 zoom meetings/walk-ins each week for qualified and interested candidates
3.Conduct minimum of 10 assessments each week against the shortlisted and thereby interested for enrolment candidates alone
4.Facilitate the entry level assessment and result discussions with the concerned as instructed by the reporting head
5.Bring in 3 closures each week of meticulously either full sale value or of part payments
6.Exhibit effective client relations and bring in passive income by creating referral database
7.Conduct in person meetings with walk-ins client as assigned
8.Maintain up-to-date MIS reporting (call logs, sales summary sheet, target tracker & Selection list Superr’30). And adapt to any new addition to the list.
9.Ensure 20 closures of 100 qualified leads assigned in a month
10.Attend all weekly review meetings and come prepared with the sales review summary report
11.Liaison efficiently with back-end operations for hassle free client handling and ensure client is informed with no discrepancy of his best chances and impact of our services
12.Attend all training programs as and when requested by the reporting head
13.Facilitate new joiner training programs as instructed by the head.
14.Participate in marketing initiatives as and when required.

What you’ll be doing:
- You’ll design and architect new features on Mobile Application development.
- You’ll be involved all aspects of development, playing a critical role in design, planning, development and deployment.
- You'll Develop robust, quick prototypes for proof-of concept features / application based on briefs.
- You’ll coordinate with all lines of business to delivery an entire piece of a system or application.
- Write clean, simple and well-tested code
Who are you?
You are a team-player who collaborates with developers, designers, testers and product manager to create an amazing user experience. You have experience with all aspects of the production software lifecycle. You have good interpersonal skills and feel comfortable coordinating efforts across teams. You are a fast learner, with an eye for detail, strong problem-solving and debugging skills.
What you’ll bring to the table:
- Your extensive knowledge in Data structures, Algorithms, ORM and Design Patterns.
- You’ll bring extensive experience in mobile development along with the best practices as per language (Android) guidelines.
- Your ability to thrive in complexity and a strong desire to collaborate with colleagues to deliver projects.
- If you have work experience in a Consumer Product/E-Commerce company, we’ll like you even more.
understand and interpret data within the context of the product/business -
solve problems and distill data into actionable recommendations.
Strong communication skills with the ability to confidently work with cross-
functional teams across the globe and to present information to all levels of the
organization.
Intellectual and analytical curiosity - initiative to dig into the why what & how.
Strong number crunching and quantitative skills.
Advanced knowledge of MS Excel and PowerPoint.
Good hands-on SQL
Experience within Google Analytics, Optimize, Tag Manager, and other Google Suite tools
Understanding of Business analytics tools & statistical programming languages - R, SAS, SPSS, Tableau is a plus
Inherent interest in e-commerce & marketplace technology platforms and
broadly in the consumer Internet & mobile space.
Previous experience of 1+ years working in a product company in
a product analytics role
Strong understanding of building and interpreting product funnels.
Responsiblitis
Assist in the formulation of strategies to build a lasting digital connection with
consumers
- Plan and monitor the ongoing company presence on social media (Twitter,
Facebook etc.)
- Launch optimized online adverts through Google AdWords, Facebook etc. to
increase company and brand awareness
- Be actively involved in SEO efforts (keyword, image optimization etc.)
- Prepare online newsletters and promotional emails and organize their
distribution through various channels
- Provide creative ideas for content marketing and update website
- Collaborate with designers to improve user experience
- Measure performance of digital marketing efforts using a variety of Web
analytics tools (Google Analytics, Web Trends etc.)
- Acquire insight in online marketing trends and keep strategies up-to-date
- Maintain partnerships with media agencies and vendors

