Data Visualization Jobs in Bangalore (Bengaluru)
Duties and Responsibilities:
Research and Develop Innovative Use Cases, Solutions and Quantitative Models
Quantitative Models in Video and Image Recognition and Signal Processing for cloudbloom’s
cross-industry business (e.g., Retail, Energy, Industry, Mobility, Smart Life and
Entertainment).
Design, Implement and Demonstrate Proof-of-Concept and Working Proto-types
Provide R&D support to productize research prototypes.
Explore emerging tools, techniques, and technologies, and work with academia for cutting-
edge solutions.
Collaborate with cross-functional teams and eco-system partners for mutual business benefit.
Team Management Skills
Academic Qualification
7+ years of professional hands-on work experience in data science, statistical modelling, data
engineering, and predictive analytics assignments
Mandatory Requirements: Bachelor’s degree with STEM background (Science, Technology,
Engineering and Management) with strong quantitative flavour
Innovative and creative in data analysis, problem solving and presentation of solutions.
Ability to establish effective cross-functional partnerships and relationships at all levels in a
highly collaborative environment
Strong experience in handling multi-national client engagements
Good verbal, writing & presentation skills
Core Expertise
Excellent understanding of basics in mathematics and statistics (such as differential
equations, linear algebra, matrix, combinatorics, probability, Bayesian statistics, eigen
vectors, Markov models, Fourier analysis).
Building data analytics models using Python, ML libraries, Jupyter/Anaconda and Knowledge
database query languages like SQL
Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM,
Decision Forests.
Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the
fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis
of a lot of predictive performance or algorithm optimization techniques.
Deep learning : CNN, neural Network, RNN, tensorflow, pytorch, computervision,
Large-scale data extraction/mining, data cleansing, diagnostics, preparation for Modeling
Good applied statistical skills, including knowledge of statistical tests, distributions,
regression, maximum likelihood estimators, Multivariate techniques & predictive modeling
cluster analysis, discriminant analysis, CHAID, logistic & multiple regression analysis
Experience with Data Visualization Tools like Tableau, Power BI, Qlik Sense that help to
visually encode data
Excellent Communication Skills – it is incredibly important to describe findings to a technical
and non-technical audience
Capability for continuous learning and knowledge acquisition.
Mentor colleagues for growth and success
Strong Software Engineering Background
Hands-on experience with data science tools
Mandatory skills: SQL, R / Python, Data Visualization (any tool is preferred), Excel and Presentation skill.
Responsibilities: -
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Understand ad-hoc business requirements released from local business units.
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Identify underline data requirement, build data extraction approach, analyse, build MIS reports and present the insights with the relevant business.
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Enable effective decision making by retrieving, aggregating and synthesizing massive data from multiple sources and compiling it into a digestible and actionable format.
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Develop solutions that utilize the highest standards of analytical rigor and data integrity.
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Generate and distribute management reports in accurate and timely manner.
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Develop MIS Documentation and SOP to ensure business continuity.
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Participate in periodic review, development of MIS reports and dashboards internally to the business using advanced visualization techniques.
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Provide support and maintenance to existing MIS & Data warehousing team.
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Analyse and solve business problems with focus on understanding root causes and driving forwardlooking opportunities.
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Build, test, schedule and automate daily/weekly/monthly MIS reports.
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Communicate complex analysis, highlights of the published reports, business insights and recommendations to stakeholders and business leaders, both verbally and in writing.
Competencies & Experience: -
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3 - 6 years of experience as a Business Intelligence Analyst preferably in a payment, banking, finance, insurance domain.
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Strong experience in writing SQL queries.
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Experience working with both business and operations teams with good exposure on MIS systems and its data sources.
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Experience developing insights across various areas of customer-related data: financial, product, and marketing.
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Experience in any one of the data visualization tools (e.g., Tableau, PowerBI, Qliksense etc.)
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Ability to prioritize multiple concurrent business problems while still delivering timely and accurate results.
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Strong verbal and written communications skills that enable you to explain complex insights with clarity and precision to the business stakeholders.
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Proven analytical skills and an ability to use data sources, develop business cases, and complete root cause/ analysis
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Understand ad-hoc business requirements released from local business units.
-
Identify underline data requirement, build data extraction approach, analyse, build MIS reports and present the insights with the relevant business.
-
Enable effective decision making by retrieving, aggregating and synthesizing massive data from multiple sources and compiling it into a digestible and actionable format.
-
Develop solutions that utilize the highest standards of analytical rigor and data integrity.
-
Generate and distribute management reports in accurate and timely manner.
-
Develop MIS Documentation and SOP to ensure business continuity.
-
Participate in periodic review, development of MIS reports and dashboards internally to the business using advanced visualization techniques.
-
Provide support and maintenance to existing MIS & Data warehousing team.
-
Analyse and solve business problems with focus on understanding root causes and driving forwardlooking opportunities.
-
Build, test, schedule and automate daily/weekly/monthly MIS reports.
-
Communicate complex analysis, highlights of the published reports, business insights and recommendations to stakeholders and business leaders, both verbally and in writing.
Competencies & Experience: -
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1-3 years of experience as a Business Intelligence Analyst preferably in a payment, banking, finance, insurance domain.
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Strong experience in writing SQL queries.
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Experience working with both business and operations teams with good exposure on MIS systems and its data sources.
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Experience developing insights across various areas of customer-related data: financial, product, and marketing.
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Experience in any one of the data visualization tools (e.g., Tableau, PowerBI, Qliksense etc.)
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Ability to prioritize multiple concurrent business problems while still delivering timely and accurate results.
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Strong verbal and written communications skills that enable you to explain complex insights with clarity and precision to the business stakeholders.
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Proven analytical skills and an ability to use data sources, develop business cases, and complete root cause/ analysis
- Experience in Analytics
- Min 2-3 years of exp. in Tableau
- Strong experience with design and development of Tableau visualizations
- Strong SQL.(Oracle or SQL Server)
- Create complex formulas and calculations within Tableau to meet the needs of complex business logic.
- Create action filters, parameters and calculations for preparing dashboards and worksheets in Tableau.
- Experience in Production support and issue resolution that includes debugging of Reporting related Issues, Dashboard design issues, Archiving and Performance Issues.
- Fix bugs, troubleshoot and resolve problems.
- Ownership of development, testing and production.
- Good communication skills is essential
About the Startup!
BharatX is a startup trying to change how the 250 million Indian Middle-Class Indians get access to credit. We give Credit via other consumer-facing apps and platforms as-a-Feature to their customers via a simple integration of our APIs in a Plug-and-Play manner. Our offerings enable journeys like Postpaid on Uber/Ola, Pay after Trial on Lenskart/Meesho, Pay in 3 on Flipkart/BoAt, Credit-Line on PhonePe/Gpay in a white-labelled and embedded manner!
Who We Are:
A team of young, ambitious, and bold people love to dedicate their life’s work towards something meaningful for India & the world. We love to have a shit ton of fun and cut the bullshit corporate culture! We are not colleagues, we are a family, in it for the long run!
Folks who believe in us:
We have been fortunate to have a lot of Global VCs, Founders, Clients, Angels and Industry veterans back us in our journey. We also have a lot of mentors in the Industry Globally who work with us day in, day out on building BharatX. Some of our Investors Include:
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Global VCs
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Angels
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A special shout out to some of the clients of BharatX who have also chosen to back us, their vote of confidence in our product and vision is the most valuable to us.
What you will impact:
Data is the backbone of everything we do at BharatX. And you will be leading that. Your role would majorly revolve around gathering insights from the data points that various systems at BharatX generate.
Data points that you could handle can include:
- Device metrics of different cohorts of users
- User behavioural data
- User interaction data (events triggered based how user interacts with various interfaces)
- Many more
And of course you are welcome to introduce more data sources that we might have overlooked.
What you will learn:
How to get stuff done! You will solve real-world challenges that no experience or training can help you. Only your grit and passion for solving the problem will help you figure out how to deal with them. You will learn to think from a technical as well as product point of view.
Key Responsibilities:
- Providing insights to optimise existing processes or design new ones
- Providing insights to gauge performance of various products
- Drafting policies or algorithms that can add on to our underwriting stack
What we look for:
We need people who are quick learners and bold enough to suggest crazy ideas. From a technical front, we need people who have:
- Demonstrable experience with SQL, python/R
- Good knowledge of analytical concepts
- Ability to interact with all stakeholders and understand business requirements.
- Startup work experience (preferred).
We also encourage you to apply even if you took a break from professional life for whatever reasons. For us, the people and their skills matter more than their resumes.
What you get:
We don’t seek employees, we seek friends. If you are looking for an environment where smart people work around you who help you achieve your goals without any corporate bureaucracy, encourage you to make mistakes and get complete ownership of your work, then this is the place for you! Here are some side perks that come with this job:
- Be a part of our 0 to 1 ride!
- Attractive compensation with the best-in-class ESOP Structure. You take care of doing your best work, and we will take care of making sure you never have to worry about money.
- Insurance for your entire family.
- Choose your own device (and keep it if you stay long enough).
- Unlimited paid time off with no questions asked.
- Encouragement to take time for your mental health and personal life.
- Maternity and Paternity Leave.
- A tight-knit and brutally honest team with no politics or hierarchy :D
Kwalee is one of the world’s leading multiplatform game publishers and developers, with well over 750 million downloads worldwide for mobile hits such as Draw It, Teacher Simulator, Let’s Be Cops 3D, Airport Security and Makeover Studio 3D. Alongside this, we also have a growing PC and Console team of incredible pedigree that is on the hunt for great new titles to join TENS!, Eternal Hope, Die by the Blade and Scathe.
We have a team of talented people collaborating daily between our studios in Leamington Spa, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, the Philippines and many more places, and we’ve recently acquired our first external studio, TicTales which is based in France. We have a truly global team making games for a global audience. And it’s paying off: Kwalee has been recognised with the Best Large Studio and Best Leadership awards from TIGA (The Independent Game Developers’ Association) and our games have been downloaded in every country on earth!
Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters for many years, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of global gaming experts. Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle. Could your idea be the next global hit?
What’s the job?
You’ll be working as part of the HR & Talent Acquisition team collating and analysing data, using Tableau as your main tool.
What you tell your friends you do
“I help to tell stories and insights with data”
What you will really be doing
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Analysing and data from the HR & Talent Acquisition Team
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Interpreting data to give meaningful insights
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Creating Tableau dashboards for key metrics
How you will be doing this
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You’ll be part of an agile, multidisciplinary and creative team and work closely with them to ensure the best results.
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You'll think creatively and be motivated by challenges and constantly striving for the best.
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You’ll work with cutting edge technology, if you need software or hardware to get the job done efficiently, you will get it. We even have a robot!
Team
Our talented team is our signature. We have a highly creative atmosphere with more than 200 staff where you’ll have the opportunity to contribute daily to important decisions. You’ll work within an extremely experienced, passionate and diverse team, including David Darling and the creator of the Micro Machines video games.
Skills and Requirement
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3 + Years of experience as an analyst
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Excellent Tableau experience
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Good working knowledge of SQL
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Excellent spreadsheet skills
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A background in querying and visualising data
We offer
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We want everyone involved in our games to share our success, that’s why we have a generous team profit sharing scheme from day 1 of employment
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In addition to a competitive salary we also offer private medical cover and life assurance
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Creative Wednesdays! (Design and make your own games every Wednesday)
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20 days of paid holidays plus bank holidays
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Hybrid model available depending on the department and the role
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Relocation support available
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Great work-life balance with flexible working hours
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Quarterly team building days - work hard, play hard!
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Monthly employee awards
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Free snacks, fruit and drinks
Our philosophy
We firmly believe in creativity and innovation and that a fundamental requirement for a successful and happy company is having the right mix of individuals. With the right people in the right environment anything and everything is possible.
Kwalee makes games to bring people, their stories, and their interests together. As an employer, we’re dedicated to making sure that everyone can thrive within our team by welcoming and supporting people of all ages, races, colours, beliefs, sexual orientations, genders and circumstances. With the inclusion of diverse voices in our teams, we bring plenty to the table that’s fresh, fun and exciting; it makes for a better environment and helps us to create better games for everyone! This is how we move forward as a company – because these voices are the difference that make all the difference.
The Nitty-Gritties
Location: Bengaluru/Mumbai
About the Role:
Freight Tiger is growing exponentially, and technology is at the centre of it. Our Engineers love solving complex industry problems by building modular and scalable solutions using cutting-edge technology. Your peers will be an exceptional group of Software Engineers, Quality Assurance Engineers, DevOps Engineers, and Infrastructure and Solution Architects.
This role is responsible for developing data pipelines and data engineering components to support strategic initiatives and ongoing business processes. This role works with leads, analysts, and data scientists to understand requirements, develop technical solutions, and ensure the reliability and performance of the data engineering solutions.
This role provides an opportunity to directly impact business outcomes for sales, underwriting, claims and operations functions across multiple use cases by providing them data for their analytical modelling needs.
Key Responsibilities
- Create and maintain a data pipeline.
- Build and deploy ETL infrastructure for optimal data delivery.
- Work with various product, design and executive teams to troubleshoot data-related issues.
- Create tools for data analysts and scientists to help them build and optimise the product.
- Implement systems and processes for data access controls and guarantees.
- Distil the knowledge from experts in the field outside the org and optimise internal data systems.
Preferred Qualifications/Skills
- Should have 5+ years of relevant experience.
- Strong analytical skills.
- Degree in Computer Science, Statistics, Informatics, Information Systems.
- Strong project management and organisational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- SQL guru with hands-on experience on various databases.
- NoSQL databases like Cassandra, and MongoDB.
- Experience with Snowflake, Redshift.
- Experience with tools like Airflow, and Hevo.
- Experience with Hadoop, Spark, Kafka, and Flink.
- Programming experience in Python, Java, and Scala.
Responsibilities
This role requires a person to support business charters & accompanying products by aligning with the Analytics
Manager’s vision, understanding tactical requirements and helping in successful execution. Split would be approx.
70% management + 30% individual contributor. Responsibilities include
Project Management
- Understand business needs and objectives.
- Refine use cases and plan iterations and deliverables - able to pivot as required.
- Estimate efforts and conduct regular task updates to ensure timeline adherence.
- Set and manage stakeholder expectations as required
Quality Execution
- Help BA and SBA resources with requirement gathering and final presentations.
- Resolve blockers regarding technical challenges and decision-making.
- Check final deliverables for correctness and review codes, along with Manager.
KPIs and metrics
- Orchestrate metrics building, maintenance, and performance monitoring.
- Owns and manages data models, data sources, and data definition repo.
- Makes low-level design choices during execution.
Team Nurturing
- Help Analytics Manager during regular one-on-ones + check-ins + recruitment.
- Provide technical guidance whenever required.
- Improve benchmarking and decision-making skills at execution-level.
- Train and get new resources up-to-speed.
- Knowledge building (methodologies) to better position the team for complex problems.
Communication
- Upstream to document and discuss execution challenges, process inefficiencies, and feedback loops.
- Downstream and parallel for context-building, mentoring, stakeholder management.
Analytics Stack
- Analytics : Python / R + SQL + Excel / PPT, Colab notebooks
- Database : PostgreSQL, Amazon Redshift, DynamoDB, Aerospike
- Warehouse : Amazon Redshift
- ETL : Lots of Python + custom-made
- Business Intelligence / Visualization : Metabase + Python/R libraries (location data)
- Deployment pipeline : Docker, Git, Jenkins, AWS Lambda
Cloud Infrastructure Engineering Manager
Responsibilities
This role requires a person to drive the engineering of our cloud infrastructure by aligning with various stakeholders, advising teams on Cloud Solutions, and building and upskilling a team to aid in this.
Cloud Strategy
- Continuously engage with various stakeholders within Porter, understand their requirements, design and continuously evolve the overall Cloud Infrastructure strategy for Porter to meet the overall goals of the company
- Work with application developers to design scalable, robust systems using cloud native architecture principles and help them achieve their operational goals
- Understand needs of data analysis stakeholders and help design data
- infrastructure to meet them.
- Speak with Business leaders to align the team’s road map with business goals like International Expansion, Cost Reduction, goals, etc.
- Engage with legal counterparts to ensure Porter meets its compliance
- obligations, especially in terms of security and privacy.
Cloud Platform Solutions
- Identify common cloud requirements, build platform services to solve them and drive adoption across other teams
- Maintain reliable infrastructure for our servers to run on
- Identify Infrastructure-as-Code tools and educate application teams to provision cloud infrastructure
- Build and maintain convenient CI / CD infrastructure requiring minimal effort from application developers to get their code to production reliably
- Drive adoption of observability platforms for application visibility to help
- application developers have complete visibility of their applications - logging, tracing and metrics.
Security & Privacy
- Ensure security of all cloud infrastructure resources and data owned by Porter.
- Ensure secure networking for all service communication, auditable data
- movement and data access
- Setup ease to use Access Control management and ensure adherence
- Drive security best practices in every stage of application development
- Ensure secure data storage ensure compliance with privacy laws and secure data access to prevent data leaks
Data Infrastructure
- Empower Data Analysis teams to easily discover and communicate Business Insights by providing the right infrastructure to solve their pain points
- Setup data infrastructure on which data pipelines can be set up to ingest data from application databases to a Data Lake
- Provide reporting and visualization tools to our Data team to leverage this and provide Business Insights
Team Management
- Build and lead a team of highly motivated engineers consisting of Cloud Engineers, SREs and InfoSec.
- Manage a team of upto 10 - 12 members
- Develop a culture of ownership and empathy within the team
- Set clearly defined responsibilities of various roles and at various levels
- Do periodic assessment of reportees, chart their growth paths and train them.
Company Overview
At Porter, we are passionate about improving productivity. We want to help businesses, large and small, optimize their last-mile operations and empower them to unleash the growth of their core functions. Last mile delivery logistics is one of the biggest and fastest growing sectors of
the economy with a market cap upwards of 50 billion USD and a growth rate exceeding 15% CAGR.
Porter is the fastest growing leader in this sector with operations in 14 major cities, a fleet size exceeding 1L registered and 50k active driver partners and a customer base with 3.5M being monthly active. Our industry-best technology platform has raised over 150 million USD from investors including Sequoia Capital, Kae Capital, Mahindra group, LGT Aspada, Tiger Global and Vitruvian Partners.
We are addressing a massive problem and going after a huge market. We’re trying to create a household name in transportation and our ambition is to disrupt all facets of the supply chain. At Porter, we’re here to do the best work of our lives.
If you want to do the same and love the challenges and opportunities of a fast paced work environment, then we believe Porter is the right place for you.
Company URL: https://porter.in/
Qualification Prerequisites
- Cloud Infrastructure experience (preferably AWS) >= 8-9 years
- Experience managing a technical team of at least 3 people
- Experience with git, CI / CD, Docker, Kubernetes, etc
- Experience in working with immutable infrastructure, policy as code and infrastructure as code (Terraform, etc).
- Strong Linux Shell scripting experience
- Knowledge of emerging technologies in the cloud native, container orchestration, gitops and observability spaces
- Experience with *nix systems, network protocols, dns and configuration management tools
- Experience with one of the programming languages like Python, Java, etc.
mobile, web, and cloud platforms.
We are looking for a Senior Data Analyst to join our team.
Responsibilities:
• Design, develop and maintain scaled, automated, user-friendly systems, statistical analysis and
prediction, reports, dashboards, etc. that will support the needs of the business.
• Apply deep analytic and business intelligence skills to extract meaningful insights and learning from
large and complicated data sets using the appropriate statistical forecasting model and Machine
Learning models.
• Be hands-on with ETL to build data pipeline to support automated reporting.
• Ingest data from various sources (e.g.: Google Ad Manager, LiveIntent, various SSPs, etc.). Integrate
directly wherever possible/necessary
• Integrate the platform to other operational systems such as billing, Sales (Salesforce), etc.
• Serve as liaison between the business and technical teams to achieve the goal of providing actionable
insights into current business performance, and ad hoc investigations to support future improvements
or innovations.
• This will require data gathering and manipulation, problem solving, and communication of insights
and recommendations.
• Build various data visualizations to tell the story of business trends, patterns, and outliers through rich
visualizations.
• Build dashboards for various stakeholders (e.g.: Sr. Leadership team, Media Sales team, Ops team,
Advertisers, Finance & Accounting, etc.)
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis,
validation, and documentation.
Required Skillset:
• Extensive experience in SQL, data modelling, and data preparation required.
• Experience working with DataStage and Kafka is a plus.
• Overall knowledge of MDM and Data Governance processes preferred.
• Experience with MicroStrategy, PowerBI or related tools like Tableau is a must.
• Experience working with databases like Teradata, Oracle and SQL server is required.
• Experience working with Azure cloud databases is a plus.
• Experience with Agile methodology preferred.
• Excellent problem solving, analytical, and troubleshooting skills.
• Great teamwork and interpersonal skills.
• Takes initiative and tackles challenges with enthusiasm.
Data Scientist (Risk)/Sr. Data Scientist (Risk)
As a part of the Data science/Analytics team at Rupifi, you will play a significant role in helping define the business/product vision and deliver it from the ground up by working with passionate high-performing individuals in a very fast-paced working environment.
You will work closely with Data Scientists & Analysts, Engineers, Designers, Product Managers, Ops Managers and Business Leaders, and help the team make informed data driven decisions and deliver high business impact.
Preferred Skills & Responsibilities:
- Analyze data to better understand potential risks, concerns and outcomes of decisions.
- Aggregate data from multiple sources to provide a comprehensive assessment.
- Past experience of working with business users to understand and define inputs for risk models.
- Ability to design and implement best in class Risk Models in Banking & Fintech domain.
- Ability to quickly understand changing market trends and incorporate them into model inputs.
- Expertise in statistical analysis and modeling.
- Ability to translate complex model outputs into understandable insights for business users.
- Collaborate with other team members to effectively analyze and present data.
- Conduct research into potential clients and understand the risks of accepting each one.
- Monitor internal and external data points that may affect the risk level of a decision.
Tech skills:
- Hands-on experience in Python & SQL.
- Hands-on experience in any visualization tool preferably Tableau
- Hands-on experience in Machine & Deep Learning area
- Experience in handling complex data sources
- Experience in modeling techniques in the fintech/banking domain
- Experience of working on Big data and distributed computing.
Preferred Qualifications:
- A BTech/BE/MSc degree in Math, Engineering, Statistics, Economics, ML, Operations Research, or similar quantitative field.
- 3 to 10 years of modeling experience in the fintech/banking domain in fields like collections, underwriting, customer management, etc.
- Strong analytical skills with good problem solving ability
- Strong presentation and communication skills
- Experience in working on advanced machine learning techniques
- Quantitative and analytical skills with a demonstrated ability to understand new analytical concepts.
This role requires a person to support initiatives within a business charter & accompanying products by aligning with
AM vision, understanding tactical requirements, and executing ideas. A mostly individual contributor (IC) role with
guidance support and mentoring, ownership, and high growth opportunities.
- Explore, analyze, and visualize our unique data to provide insight to stakeholders
- Design reports and dashboards to monitor metrics and add value to business
- Identify pain points in existing processes and suggest improvements backed by data
- Use existing / build new frameworks to develop & maintain ETL processes
- Design A/B tests to validate hypotheses and help design better products
- Build models to support tech products, when required
- Overall - help us build an awesome product and provide amazing user experience
Analytics Stack
- Analytics : Python / R / SQL + Excel / PPT, Colab notebooks
- Database : PostgreSQL, Amazon Redshift, DynamoDB, Aerospike
- Warehouse : Amazon Redshift
- ETL : Lots of Python + custom-made
- Business Intelligence / Visualization : Metabase + Python/R libraries (location data) + Dash
- Deployment pipeline : Docker, Jenkins, AWS Lambda
- Collaboration : Git, Dropbox Paper
GCP Data Analyst profile must have below skills sets :
- Knowledge of programming languages like https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Ftutorials%2Fsql-tutorial%2Fhow-to-become-sql-developer&;data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=EImfaJAD1KHOyrBQ7FkbaPl1STtfnf4QdQlbjw72%2BmE%3D&reserved=0" target="_blank">SQL, Oracle, R, MATLAB, Java and https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Fwhy-learn-python-a-guide-to-unlock-your-python-career-article&;data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Z2n1Xy%2F3YN6nQqSweU5T7EfUTa1kPAAjbCMTWxDCh%2FY%3D&reserved=0" target="_blank">Python
- Data cleansing, data visualization, data wrangling
- Data modeling , data warehouse concepts
- Adapt to Big data platform like Hadoop, Spark for stream & batch processing
- GCP (Cloud Dataproc, Cloud Dataflow, Cloud Datalab, Cloud Dataprep, BigQuery, Cloud Datastore, Cloud Datafusion, Auto ML etc)
About Rupifi
Rupifi Website : https://www.rupifi.com/
Rupifi LinkedIn : https://www.linkedin.com/company/rupifi/mycompany/
Job Description
- Work with product managers to conduct research, create business cases and translate them into meaningful problems to solve
- Measure impact of experiments related to function, analyzing and helping in course correction.
- Recommending product improvements based on analytical findings. Defining new metrics, techniques, and strategies to improve performance.
- Constantly monitor and analyze metrics identified, publish insights/any anomalies along with hypothesis
Requirements
- You should have 2+ years of work experience in analytics or related fields.
- Strong working knowledge of Excel, SQLand R/Python.
- Experience with Reporting/BI tools
- Extensive experience solving analytical problems using quantitative approaches
- Expert at data visualization and presentation.
- The ability to clearly and effectively communicate the results of complex analysis. Work closely with Product Managers to drive product improvements through data-driven decisions.
4-6 years of total experience in data warehousing and business intelligence
3+ years of solid Power BI experience (Power Query, M-Query, DAX, Aggregates)
2 years’ experience building Power BI using cloud data (Snowflake, Azure Synapse, SQL DB, data lake)
Strong experience building visually appealing UI/UX in Power BI
Understand how to design Power BI solutions for performance (composite models, incremental refresh, analysis services)
Experience building Power BI using large data in direct query mode
Expert SQL background (query building, stored procedure, optimizing performance)
Job Role & Responsibility:
VMWare NSBU HCX team is looking for passionate engineers with a startup mindset and ready to solve business problems by applying technical engineering knowledge. You will be a part of enterprise class HCX cloud mobility platform to help customers solve datacenter evacuation, consolidation and hybrid cloud use cases. You’ll be part of a dynamic engineering team where a passion for innovation is a key to address technical problems, improve performance and scalability and focus on continuous improvement is of paramount importance. You will be a part of R&D development team focused on various aspects of HCX ranging from workload mobility to networking in the context of hybrid cloud paradigm. As part of the job, you will work with senior architects and other engineers of the team to deliver world class enterprise class product.
Required Skills:
- Background with Computer Science fundamentals (based on a BS or MS in CS or related field) with 4+ years of substantial professional experience
- Strong programming skills in Java/Go/Python
- Knowledge of distributed systems
- Understanding of Micro Services architecture, REST APIs Design and Development
- Understanding of Kubernetes, Kafka, No-sql, Java/Sprint, Client MVC
- Exposure to one or more UI technologies
- Organized and passionate about details; able to effectively perform multiple/concurrent tasks within deadlines in a dynamic environment
Preferred Skills:
- Strong knowledge about virtualization, and/or container technologies
- Experience in SDN/Networking/Network Management domain is added plus
- Exposure to AWS, Azure is added plus
2+ years of Analytics with predominant experience in SQL, SAS, Statistics, R , Python, Visualization
Experienced in writing complex SQL select queries (window functions & CTE’s) with advanced SQL experience
Should be an individual contributor for initial few months based on project movement team will be aligned
Strong in querying logic and data interpretation
Solid communication and articulation skills
Able to handle stakeholders independently with less interventions of reporting manager
Develop strategies to solve problems in logical yet creative ways
Create custom reports and presentations accompanied by strong data visualization and storytelling
Power BI Developer
Senior visualization engineer with 5 years’ experience in Power BI to develop and deliver solutions that enable delivery of information to audiences in support of key business processes. In addition, Hands-on experience on Azure data services like ADF and databricks is a must.
Ensure code and design quality through execution of test plans and assist in development of standards & guidelines working closely with internal and external design, business, and technical counterparts.
Candidates should have worked in agile development environments.
Desired Competencies:
- Should have minimum of 3 years project experience using Power BI on Azure stack.
- Should have good understanding and working knowledge of Data Warehouse and Data Modelling.
- Good hands-on experience of Power BI
- Hands-on experience T-SQL/ DAX/ MDX/ SSIS
- Data Warehousing on SQL Server (preferably 2016)
- Experience in Azure Data Services – ADF, DataBricks & PySpark
- Manage own workload with minimum supervision.
- Take responsibility of projects or issues assigned to them
- Be personable, flexible and a team player
- Good written and verbal communications
- Have a strong personality who will be able to operate directly with users
We are looking for a Senior Data Analyst who will support our product, sales, leadership, and marketing teams with data collection and organization of data in order to draw conclusions, make predictions, and drive informed decision making.
- The ideal candidate is adept at using large data sets to find opportunities for product and marketing optimization and using data models to test the effectiveness of different courses of action.
- Not just that, you also understand how to clean and organize data for complete analysis and calculations using spreadsheets, SQL Python, and R programming.
- Visualizing and presenting data findings in dashboards, presentations and commonly used visualization platforms must be your strength.
SKILLS YOU MUST HAVE:
- Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL Questioning, Decision-Making, Problem Solving, Data Collection, Data Ethics, Sample Size Determination, Spreadsheet,
RESPONSIBILITIES:
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases (GOOGLE ANALYTICS, User DB, and 3rd party Marketing Analytics tools) to drive optimization and improvement of product development, marketing techniques, and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Strong understanding of Google Analytics (GA) fundamentals and how to work with raw GA data
- Automate custom data fetching from Google Analytics dashboard to excel sheet and other primary and secondary sources
- Work with complex SQL queries
- Work with Big Query with GA integration to extract data
- Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
- Filter Data by reviewing reports and performance indicators to identify and correct code problems
- Developing and maintaining databases, data systems reorganizing data in a readable format
- Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
- Assign a numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Understanding of statistical concepts like Statistical significance, t-test, and z-test for AB testing
- Performing analysis to assess quality and meaning of data
- Preparing reports for the management stating trends, patterns, and predictions using relevant data
- Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
- Robust understanding of Mix panel and Amplitude
Skill requirement:
- 6-8 years of experience in database management and a strong understanding of Google Analytics
- Strong mathematical skills to help collect, measure, organize, and analyze data
- Experience using statistical computer languages (R, Python, MATLAB, SQL, etc.) to manipulate data and draw insights from large data sets.
- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
- Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
- Knowledge of data visualization software like Tableau
- Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
- Accuracy and attention to detail
- Adept at queries, advanced excel management, writing reports, and making presentations
- Team-working skills
- Verbal and Written communication skills
- Proven working experience in data analysis
Responsibilities
- Understanding the business requirements so as to formulate the problems to solve and restrict the slice of data to be explored.
- Collecting data from various sources.
- Performing cleansing, processing, and validation on the data subject to analyze, in order to ensure its quality.
- Exploring and visualizing data.
- Performing statistical analysis and experiments to derive business insights.
- Clearly communicating the findings from the analysis to turn information into something actionable through reports, dashboards, and/or presentations.
- Preparing business dashboards for teams to add transparency in the process and uncover bottlenecks
- Conceive and prepare product dashboards to highlight transparently the user journey on the BitClass platform and outline bottlenecks/wins in the same.
Skills
- Experience solving problems in the project’s business domain.
- Experience with data integration from multiple sources
- Proficiency in at least one query language, especially SQL.
- Working experience with NoSQL databases, such as MongoDB and Elasticsearch.
- Working experience with popular statistical and machine learning techniques, such as clustering, linear regression, KNN, decision trees, etc.
- Good scripting skills using Python, R or any other relevant language
- Proficiency in at least one data visualization tool, such as Matplotlib, Plotly, D3.js, ggplot, etc.
- Great communication skills.
Work at client location as Tableau Squad BA / Tech lead gathering visualization requirements and building Business Insights and Dashboards
Roles And Responsibilities
- Work with Business stakeholders to gather Dashboarding/reporting requirements
- Document user stories
- High level and detail design for Tableau application
- Suggest visualization options and collaborate on prototyping of Dashboards
- Actively collaborate with customers and colleagues to ensure delivery excellence
- Display a growth mindset by proactively seeking feedback
- Technical lead for developers guiding them with complex set analysis expressions and Dashboard development
Skills /Competencies:
- Experience in reporting requirement analysis
- Strong hands-on experience in Tableau design and development
- Experience in set analysis, storytelling, data load scripting and security setup of Tableau reports
- Experience in working with large scale RBDMS (Oracle/Teradata preferred)
- Working knowledge of QMC
- Good SQL knowledge
- Ability to present analysis and technical information to a non-technical audience
- Ability to work independently and collaboratively, as part of a team
- Excellent communication skills
- Ability to create documented standards and procedures for others to follow
We are an early stage start-up, building new fintech products for small businesses. Founders are IIT-IIM alumni, with prior experience across management consulting, venture capital and fintech startups. We are driven by the vision to empower small business owners with technology and dramatically improve their access to financial services. To start with, we are building a simple, yet powerful solution to address a deep pain point for these owners: cash flow management. Over time, we will also add digital banking and 1-click financing to our suite of offerings.
We have developed an MVP which is being tested in the market. We have closed our seed funding from marquee global investors and are now actively building a world class tech team. We are a young, passionate team with a strong grip on this space and are looking to on-board enthusiastic, entrepreneurial individuals to partner with us in this exciting journey. We offer a high degree of autonomy, a collaborative fast-paced work environment and most importantly, a chance to create unparalleled impact using technology.
Reach out if you want to get in on the ground floor of something which can turbocharge SME banking in India!
Technology stack at Velocity comprises a wide variety of cutting edge technologies like, NodeJS, Ruby on Rails, Reactive Programming,, Kubernetes, AWS, NodeJS, Python, ReactJS, Redux (Saga) Redis, Lambda etc.
Key Responsibilities
-
Responsible for building data and analytical engineering pipelines with standard ELT patterns, implementing data compaction pipelines, data modelling and overseeing overall data quality
-
Work with the Office of the CTO as an active member of our architecture guild
-
Writing pipelines to consume the data from multiple sources
-
Writing a data transformation layer using DBT to transform millions of data into data warehouses.
-
Implement Data warehouse entities with common re-usable data model designs with automation and data quality capabilities
-
Identify downstream implications of data loads/migration (e.g., data quality, regulatory)
What To Bring
-
3+ years of software development experience, a startup experience is a plus.
-
Past experience of working with Airflow and DBT is preferred
-
2+ years of experience working in any backend programming language.
-
Strong first-hand experience with data pipelines and relational databases such as Oracle, Postgres, SQL Server or MySQL
-
Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development)
-
Experienced with the formulation of ideas; building proof-of-concept (POC) and converting them to production-ready projects
-
Experience building and deploying applications on on-premise and AWS or Google Cloud cloud-based infrastructure
-
Basic understanding of Kubernetes & docker is a must.
-
Experience in data processing (ETL, ELT) and/or cloud-based platforms
-
Working proficiency and communication skills in verbal and written English.
Power BI Developer(Azure Developer )
Job Description:
Senior visualization engineer with understanding in Azure Data Factory & Databricks to develop and deliver solutions that enable delivery of information to audiences in support of key business processes.
Ensure code and design quality through execution of test plans and assist in development of standards & guidelines working closely with internal and external design, business and technical counterparts.
Desired Competencies:
- Strong designing concepts of data visualization centered on business user and a knack of communicating insights visually.
- Ability to produce any of the charting methods available with drill down options and action-based reporting. This includes use of right graphs for the underlying data with company themes and objects.
- Publishing reports & dashboards on reporting server and providing role-based access to users.
- Ability to create wireframes on any tool for communicating the reporting design.
- Creation of ad-hoc reports & dashboards to visually communicate data hub metrics (metadata information) for top management understanding.
- Should be able to handle huge volume of data from databases such as SQL Server, Synapse, Delta Lake or flat files and create high performance dashboards.
- Should be good in Power BI development
- Expertise in 2 or more BI (Visualization) tools in building reports and dashboards.
- Understanding of Azure components like Azure Data Factory, Data lake Store, SQL Database, Azure Databricks
- Strong knowledge in SQL queries
- Must have worked in full life-cycle development from functional design to deployment
- Intermediate understanding to format, process and transform data
- Should have working knowledge of GIT, SVN
- Good experience in establishing connection with heterogeneous sources like Hadoop, Hive, Amazon, Azure, Salesforce, SAP, HANA, API’s, various Databases etc.
- Basic understanding of data modelling and ability to combine data from multiple sources to create integrated reports
Preferred Qualifications:
- Bachelor's degree in Computer Science or Technology
- Proven success in contributing to a team-oriented environment
product insights that will drive product
strategy and roadmap
Develop dashboards and define metrics that
inform success for the Product Team
Help design, execute and evaluate A/B tests to
improve the user journey
Explore large, complex, and loosely defined
datasets to create actionable insights
Facilitate changes to product features to
improve competitive position and optimal
product performance. Work collaboratively with various teams
including marketing, business, UX, customer
support and engineering teams etc.
1-3 years of analyst experience at a product
company. Undergraduate degree from Tier 1 Colleges (IIT
/ BITS / NIT)
Comfortable diving into data and deriving
tangible insights
Experience with product analytics tools like
Amplitude/Clevertap, and data visualization
tools like PowerBI/Tableau is a plus
Experience with running A/B tests and
experiments
Prior Startup and Fintech experience is a plus
Prior startup experience is a plus
About the role
- Collaborating with a team of like-minded and experienced engineers for Tier 1 customers, you will focus on data engineering on large complex data projects. Your work will have an impact on platforms that handle crores of customers and millions of transactions daily.
- As an engineer, you will use the latest cloud services to design and develop reusable core components and frameworks to modernise data integrations in a cloud first world and own those integrations end to end working closely with business units. You will design and build for efficiency, reliability, security and scalability. As a consultant, you will help drive a data engineering culture and advocate best practices.
Mandatory experience
- 1-6 years of relevant experience
- Strong SQL skills and data literacy
- Hands-on experience designing and developing data integrations, either in ETL tools, cloud native tools or in custom software
- Proficiency in scripting and automation (e.g. PowerShell, Bash, Python)
- Experience in an enterprise data environment
- Strong communication skills
Desirable experience
- Ability to work on data architecture, data models, data migration, integration and pipelines
- Ability to work on data platform modernisation from on-premise to cloud-native
- Proficiency in data security best practices
- Stakeholder management experience
- Positive attitude with the flexibility and ability to adapt to an ever-changing technology landscape
- Desire to gain breadth and depth of technologies to support customer's vision and project objectives
What to expect if you join Servian?
- Learning & Development: We invest heavily in our consultants and offer internal training weekly (both technical and non-technical alike!) and abide by a ‘You Pass We Pay” policy.
- Career progression: We take a longer term view of every hire. We have a flat org structure and promote from within. Every hire is developed as a future leader and client adviser.
- Variety of projects: As a consultant, you will have the opportunity to work across multiple projects across our client base significantly increasing your skills and exposure in the industry.
- Great culture: Working on the latest Apple MacBook pro in our custom designed offices in the heart of leafy Jayanagar, we provide a peaceful and productive work environment close to shops, parks and metro station.
- Professional development: We invest heavily in professional development both technically, through training and guided certification pathways, and in consulting, through workshops in client engagement and communication. Growth in our organisation happens from the growth of our people.
Work closely with different Front Office and Support Function stakeholders including but not restricted to Business
Management, Accounts, Regulatory Reporting, Operations, Risk, Compliance, HR on all data collection and reporting use cases.
Collaborate with Business and Technology teams to understand enterprise data, create an innovative narrative to explain, engage and enlighten regular staff members as well as executive leadership with data-driven storytelling
Solve data consumption and visualization through data as a service distribution model
Articulate findings clearly and concisely for different target use cases, including through presentations, design solutions, visualizations
Perform Adhoc / automated report generation tasks using Power BI, Oracle BI, Informatica
Perform data access/transfer and ETL automation tasks using Python, SQL, OLAP / OLTP, RESTful APIs, and IT tools (CFT, MQ-Series, Control-M, etc.)
Provide support and maintain the availability of BI applications irrespective of the hosting location
Resolve issues escalated from Business and Functional areas on data quality, accuracy, and availability, provide incident-related communications promptly
Work with strict deadlines on high priority regulatory reports
Serve as a liaison between business and technology to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated, and well understood, and considered as part of operational
prioritization and planning
To work for APAC Chief Data Office and coordinate with a fully decentralized team across different locations in APAC and global HQ (Paris).
General Skills:
Excellent knowledge of RDBMS and hands-on experience with complex SQL is a must, some experience in NoSQL and Big Data Technologies like Hive and Spark would be a plus
Experience with industrialized reporting on BI tools like PowerBI, Informatica
Knowledge of data related industry best practices in the highly regulated CIB industry, experience with regulatory report generation for financial institutions
Knowledge of industry-leading data access, data security, Master Data, and Reference Data Management, and establishing data lineage
5+ years experience on Data Visualization / Business Intelligence / ETL developer roles
Ability to multi-task and manage various projects simultaneously
Attention to detail
Ability to present to Senior Management, ExCo; excellent written and verbal communication skills
Ganit has flipped the data science value chain as we do not start with a technique but for us, consumption comes first. With this philosophy, we have successfully scaled from being a small start-up to a 200 resource company with clients in the US, Singapore, Africa, UAE, and India.
We are looking for experienced data enthusiasts who can make the data talk to them.
You will:
- Understand business problems and translate business requirements into technical requirements.
- Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it.
- Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization.
- Gather requirements and communicate findings in the form of a meaningful story with the stakeholders
- Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption.
- Lead and mentor data analysts.
We are looking for someone who has:
- Apart from your love for data and ability to code even while sleeping you would need the following.
- Minimum of 02 years of experience in designing and delivery of data science solutions.
- You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off.
- Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand.
- Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc.
- Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics
Skillset Required:
- Regression
- Classification
- Predictive Modelling
- Prescriptive Modelling
- Python
- R
- Descriptive Modelling
- Time Series
- Clustering
What is in it for you:
- Be a part of building the biggest brand in Data science.
- An opportunity to be a part of a young and energetic team with a strong pedigree.
- Work on awesome projects across industries and learn from the best in the industry, while growing at a hyper rate.
Please Note:
At Ganit, we are looking for people who love problem solving. You are encouraged to apply even if your experience does not precisely match the job description above. Your passion and skills will stand out and set you apart—especially if your career has taken some extraordinary twists and turns over the years. We welcome diverse perspectives, people who think rigorously and are not afraid to challenge assumptions in a problem. Join us and punch above your weight!
Ganit is an equal opportunity employer and is committed to providing a work environment that is free from harassment and discrimination.
All recruitment, selection procedures and decisions will reflect Ganit’s commitment to providing equal opportunity. All potential candidates will be assessed according to their skills, knowledge, qualifications, and capabilities. No regard will be given to factors such as age, gender, marital status, race, religion, physical impairment, or political opinions.
● Ability to do exploratory analysis: Fetch data from systems and analyze trends.
● Developing customer segmentation models to improve the efficiency of marketing and product
campaigns.
● Establishing mechanisms for cross functional teams to consume customer insights to improve
engagement along the customer life cycle.
● Gather requirements for dashboards from business, marketing and operations stakeholders.
● Preparing internal reports for executive leadership and supporting their decision making.
● Analyse data, derive insights and embed it into Business actions.
● Work with cross functional teams.
Skills Required
• Data Analytics Visionary.
• Strong in SQL & Excel and good to have experience in Tableau.
• Experience in the field of Data Analysis, Data Visualization.
• Strong in analysing the Data and creating dashboards.
• Strong in communication, presentation and business intelligence.
• Multi-Dimensional, "Growth Hacker" Skill Set with strong sense of ownership for work.
• Aggressive “Take no prisoners” approach.
- Understand the business drivers and analytical use-cases.
- Translate use cases to data models, descriptive, analytical, predictive, and engineering outcomes.
- Explore new technologies and learn new techniques to solve business problems creatively
- Think big! and drive the strategy for better data quality for the customers.
- Become the voice of business within engineering and of engineering within the business with customers.
- Collaborate with many teams - engineering and business, to build better data products and services
- Deliver the projects along with the team collaboratively and manage updates to customers on time
What we're looking for :
- Hands-on experience in data modeling, data visualization, and pipeline design and development
- Hands-on exposure to Machine learning concepts like supervised learning, unsupervised learning, RNN, DNN.
- Prior experience working with business stakeholders, in an enterprise space is a plus
- Great communication skills. You should be able to directly communicate with senior business leaders, embed yourself with business teams, and present solutions to business stakeholders
- Experience in working independently and driving projects end to end, strong analytical skills.
Work Location: Bangalore
Shift: Day Time
Primary Skills & Responsibilities
• Strong knowledge in Power BI (DAX + Power Query + Power BI Service + Power BI Desktop Visualisations) and Azure Data Storages.
Why are we building Urbancomapny?
Organized service commerce is a large yet young industry in India. While India is a very large market for a home and local services (~USD 50 Billion in retail spends) and expected to double in the next 5 years, there is no billion-dollar company in this segment today.
The industry is bare ~20 years old, with a sub-optimal market architecture typical of an unorganized market - fragmented supply side operated by middlemen. As a result, experiences are broken for both customers and service professionals, each largely relying upon word of mouth to discover the other. The industry can easily be 1.5-2x larger than it is today if the frictions in user and professional's journeys are removed - and the experiences made more meaningful and joyful.
The Urban Company team is young and passionate, and we see a massive disruption opportunity in his industry. By leveraging technology, and a set of simple yet powerful processes, we wish to build a platform that can organize the world of services - and bring them to your finger-tips. We believe there is the immense value (akin to serendipity) in bringing together customers and professionals looking for each other. In the process, we hope to impact the lives of millions of service entrepreneurs, and transform service commerce they way Amazon transformed product commerce.
Job Description :
Urbancompany has grown 3x YOY and so as our tech stack. We have evolved in data-driven approach solving for the product over the last few years. We deal with around 10TB in data analytics with around 50Mn/day. We adopted platform thinking pretty at the very early stage of UC. We started building central platform teams who are dedicated solve for core engineering problems around 2-3 years ago and now it has evolved to a full-fledged vertical. Out platform vertical majorly includes Data Engineering, Service and Core Platform, Infrastructure, and Security. We are looking for an Engineering Manager for the Data Engineering team currently. A person who loves solving standardization, have strong platform thinking, opinions, have solved for Data Engineering, Data Science and analytics platform.
Job Responsibilities
- Building high octane teams with high opinions and strong platform thinking
- Working on complex design and architectural problems.
- Solving funnel analytics, product insights and building a highly scalable data platform
- Experience in building Data Science Platform
- Highly productive data-driven models to contribute to product success and building
- Visioning out the roadmap and thought process behind taking current tech stack to next level
- Building and maintaining the high NPS of 70% of platform products
- Strong decision-maker with hands-on experience
- Think about abstractions, systems and services and write high-quality code.
- Have an understanding of loopholes in current systems/architecture that can potentially break in the future and push towards solving them with other stakeholders.
- Think through complex architecture to build robust platforms to serve together all the categories and flows, solve for scale, and work on internally build services to cater to our growing needs.
Job Requirements
- At least 1-2+ Years of experience in managing teams
- 5-8 years of experience in the industry solving complex problems from scratch and have graduate/post-graduate degrees from top-tier universities.
- A thinker with strong opinions and the ability to get those opinions into reality
- Prior experience of creating complex systems in the past.
- Ability to build scalable, sustainable, reliable, and secure products based on past experience and leading teams and projects by themselves.
- Ability to bring new practices, architectural choices, and new initiatives onto the table to make the overall tech stack more robust.
- History and familiarity with server-side architecture based on APIs, databases, infrastructure, and systems.
- Ability to own the technical road map for systems/components.
What can you expect?
- A phenomenal work environment, with massive ownership and growth opportunities.
- A high performance, high-velocity environment at the cutting edge of growth.
- Strong ownership expectation and freedom to fail.
- Quick iterations and deployments – fail-fast attitude.
- Opportunity to work on cutting edge technologies.
- The massive, and direct impact of the work you do on the lives of people.
Why are we building Urban Company?
Organized service commerce is a large yet young industry in India. While India is a very large market for home and local services (~USD 50 Billion in retail spends) and expected to double in the next 5 years, there is no billion-dollar company in this segment today.
The industry is bare ~20 years old, with a sub-optimal market architecture typical of an unorganized market - fragmented supply side operated by middlemen. As a result, experiences are broken for both customers and service professionals, each largely relying upon word of mouth to discover the other. The industry can easily be 1.5-2x larger than it is today if the frictions in user and professional journeys are removed - and the experiences made more meaningful and joyful.
The Urban Company team is young and passionate, and we see a massive disruption opportunity in his industry. By leveraging technology, and a set of simple yet powerful processes, we wish to build a platform that can organize the world of services - and bring them to your finger-tips. We believe there is the immense value (akin to serendipity) in bringing together customers and professionals looking for each other. In the process, we hope to impact the lives of millions of service entrepreneurs, and transform service commerce the way Amazon transformed product commerce.
Urbancompany has grown 3x YOY and so as our tech stack. We have evolved in data-driven approach solving for the product over the last few years. We deal with around 10TB in data analytics with around 50Mn/day. We adopted the platform thinking pretty early stage of UC. We started building central platform teams who are dedicated to solving core engineering problems around 2-3 years ago and now it has evolved to a full-fledged vertical. Out platform vertical majorly includes Data Engineering, Service and Core Platform, Infrastructure, and Security. We are looking for Data Engineers, a person who loves solving standardization, has strong platform thinking, opinions, and has solved for Data Engineering, Data Science and analytics platforms.
Job Responsibilities
- Platform first approach to engineering problems.
- Creating highly autonomous systems with minimal manual intervention.
- Frameworks which can be extended to larger audiences through open source.
- Extending and modifying the open source projects to adopt as per Urban Company use case.
- Developer productivity.
- Highly abstracted and standardized frameworks like micro services, event-driven architecture, etc.
Job Requirements/Potential Backgrounds
- Bachelors/master’s in computer science form top-tier Engineering School.
- Experience with Data pipeline and workflow management tools like Luigi, Airflow etc.
- Proven ability to work in a fast paced environment.
- History and Familiarity of server-side development of APIs, databases, dev-ops and systems.
- Fanatic about building scalable, reliable data products.
- Experience with Big data tools: Hadoop, Kafka/Kinesis, Flume, etc. is an added advantage.
- Experience with Relational SQL and NO SQL databases like HBase, Cassandra etc.
- Experience with stream processing engines like Spark, Link, Storm, etc. is an added advantage.
What UC has in store for you
- A phenomenal work environment, with massive ownership and growth opportunities.
- A high performance, high-velocity environment at the cutting edge of growth.
- Strong ownership expectation and freedom to fail.
- Quick iterations and deployments – fail-fast attitude.
- Opportunity to work on cutting edge technologies.
- The massive, and direct impact of the work you do on the lives of people.
- Expecting a minimum of 2-4 years of relevant experience
- You will be managing a team of 3 currently
- Take up the ownership of developing and managing one of the largest and richest food (recipe, menu, and CPG) databases
- Interactions with cross-functional teams (Business, Food Science, Product, and Tech) on a regular basis to pan the future of client and internal food data management
- Should have a natural flair for playing with numbers and data and have a keen eye for detail and quality
- Will spearhead the Ops team in achieving the targets while maintaining a staunch attentiveness to Coverage, Completeness, and Quality of the data
- Shall program and manage projects while identifying opportunities to optimize costs and processes.
- Good business acumen, in creating logic & process flows, quick and smart decision-making skills are expected
- Will also be responsible for the recruitment, induction and training new members as well
- Setting competitive team targets. Guide and support the team members to go the extra mile and achieve set targets
Added Advantages :
- Experience in a Food Sector / Insights company
- Has a passion for exploring different cuisines
- Understands industry-related jargons and has a natural flair towards learning more about anything related to food
- Proficient in Python 2 / 3 and have built products before (managing the entire DevOps cycle) - proficient in Python Data Structures
- Good understanding of Open Source Visualisation Tools like D3.JS, Matplotlib etc.
- Good understanding of Functional APIs and Data Ingestion viz. Pandas’ dataframe from SQL DB and Excel (CSV) & Flat files of (primarily) structured data - no data cleansing
- Growth mindset - eagerness to learn and grow in the role
- Qualifications: B.Tech / BE / Graduate Engineer in any stream (preferred Mech / Industrial Engineer)
- Compensation : At par with industry (with stock options / grants to be vested over 3 years)
