11+ Data steward Jobs in Bangalore (Bengaluru) | Data steward Job openings in Bangalore (Bengaluru)
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- Data Steward :
Data Steward will collaborate and work closely within the group software engineering and business division. Data Steward has overall accountability for the group's / Divisions overall data and reporting posture by responsibly managing data assets, data lineage, and data access, supporting sound data analysis. This role requires focus on data strategy, execution, and support for projects, programs, application enhancements, and production data fixes. Makes well-thought-out decisions on complex or ambiguous data issues and establishes the data stewardship and information management strategy and direction for the group. Effectively communicates to individuals at various levels of the technical and business communities. This individual will become part of the corporate Data Quality and Data management/entity resolution team supporting various systems across the board.
Primary Responsibilities:
- Responsible for data quality and data accuracy across all group/division delivery initiatives.
- Responsible for data analysis, data profiling, data modeling, and data mapping capabilities.
- Responsible for reviewing and governing data queries and DML.
- Accountable for the assessment, delivery, quality, accuracy, and tracking of any production data fixes.
- Accountable for the performance, quality, and alignment to requirements for all data query design and development.
- Responsible for defining standards and best practices for data analysis, modeling, and queries.
- Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management.
- Responsible for the development and maintenance of an enterprise data dictionary that is aligned to data assets and the business glossary for the group responsible for the definition and maintenance of the group's data landscape including overlays with the technology landscape, end-to-end data flow/transformations, and data lineage.
- Responsible for rationalizing the group's reporting posture through the definition and maintenance of a reporting strategy and roadmap.
- Partners with the data governance team to ensure data solutions adhere to the organization’s data principles and guidelines.
- Owns group's data assets including reports, data warehouse, etc.
- Understand customer business use cases and be able to translate them to technical specifications and vision on how to implement a solution.
- Accountable for defining the performance tuning needs for all group data assets and managing the implementation of those requirements within the context of group initiatives as well as steady-state production.
- Partners with others in test data management and masking strategies and the creation of a reusable test data repository.
- Responsible for solving data-related issues and communicating resolutions with other solution domains.
- Actively and consistently support all efforts to simplify and enhance the Clinical Trial Predication use cases.
- Apply knowledge in analytic and statistical algorithms to help customers explore methods to improve their business.
- Contribute toward analytical research projects through all stages including concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report.
- Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders.
- Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed.
Additional Responsibilities:
- Strong understanding of the Software Development Life Cycle (SDLC) with Agile Methodologies
- Knowledge and understanding of industry-standard/best practices requirements gathering methodologies.
- Knowledge and understanding of Information Technology systems and software development.
- Experience with data modeling and test data management tools.
- Experience in the data integration project • Good problem solving & decision-making skills.
- Good communication skills within the team, site, and with the customer
Knowledge, Skills and Abilities
- Technical expertise in data architecture principles and design aspects of various DBMS and reporting concepts.
- Solid understanding of key DBMS platforms like SQL Server, Azure SQL
- Results-oriented, diligent, and works with a sense of urgency. Assertive, responsible for his/her own work (self-directed), have a strong affinity for defining work in deliverables, and be willing to commit to deadlines.
- Experience in MDM tools like MS DQ, SAS DM Studio, Tamr, Profisee, Reltio etc.
- Experience in Report and Dashboard development
- Statistical and Machine Learning models
- Python (sklearn, numpy, pandas, genism)
- Nice to Have:
- 1yr of ETL experience
- Natural Language Processing
- Neural networks and Deep learning
- xperience in keras,tensorflow,spacy, nltk, LightGBM python library
Interaction : Frequently interacts with subordinate supervisors.
Education : Bachelor’s degree, preferably in Computer Science, B.E or other quantitative field related to the area of assignment. Professional certification related to the area of assignment may be required
Experience : 7 years of Pharmaceutical /Biotech/life sciences experience, 5 years of Clinical Trials experience and knowledge, Excellent Documentation, Communication, and Presentation Skills including PowerPoint
Job Location: Hyderabad/Bangalore/ Chennai/Pune/Nagpur
Notice period: Immediate - 15 days
1. Python Developer with Snowflake
Job Description :
- 5.5+ years of Strong Python Development Experience with Snowflake.
- Strong hands of experience with SQL ability to write complex queries.
- Strong understanding of how to connect to Snowflake using Python, should be able to handle any type of files
- Development of Data Analysis, Data Processing engines using Python
- Good Experience in Data Transformation using Python.
- Experience in Snowflake data load using Python.
- Experience in creating user-defined functions in Snowflake.
- Snowsql implementation.
- Knowledge of query performance tuning will be added advantage.
- Good understanding of Datawarehouse (DWH) concepts.
- Interpret/analyze business requirements & functional specification
- Good to have DBT, FiveTran, and AWS Knowledge.
iOS Developer responsibilities include:
Designing and building advanced applications for the iOS platform Collaborating with cross-functional teams to define, design, and ship new features. Unit-testing code for robustness, including edge cases, usability, and general reliability. Job brief We are looking for an iOS developer who possesses a passion for pushing mobile technologies to the limits and will work with our team of talented engineers to design and build the next generation of our mobile applications.
Responsibilities
Design and build advanced applications for the iOS platform Collaborate with cross-functional teams to define, design, and ship new features. Unit-test code for robustness, including edge cases, usability, and general reliability. Work on bug fixing and improving application performance. Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
Requirements
MCA / BE /B.Tech Computer Science / IT Proven working experience in software development Working experience in iOS development. Have published one or more iOS apps in the app store A deep familiarity with Objective-C, Swift and Cocoa Touch Experience working git.
As an early hire on the core team, you’ll work on shaping projects, big and small, over short three week sprints. We’re a small team, but we get a lot of features shipped. You would be responsible for driving full-stack projects from prototype to finished stage with a lot of autonomy and creativity. This is an exciting time to join the team. We've found solid early traction, have strong basic foundations and are pushing aggressively into some incredible new feature builds. We have a small team, so you can make an incredible impact on our product very quickly.
Responsibilities:
- Own the design of the overall architecture of the web application
- Implement a robust set of services and effective APIs to power the web application
- Build reusable and manageable code and libraries for future use
- Optimize the application for maximum speed and scalability
- Translate UI/UX wireframes to visual elements
- Develop and handle well-functioning databases and applications
- Test software to ensure responsiveness and efficiency
- Troubleshoot, debug and upgrade software
Experience:
- Proven expertise in shipping features in Ruby on Rails. Strong background in Ruby on Rails, HTML, CSS, and JavaScript
- Strong experience in driving thought leadership and technical architecture
- Experience with mentoring juniors in the team
You are a fit if :
- You are a skilled coder. We need candidates with a strong history of shipping features in Rails with clean maintainable code.
- You are a good communicator and a really good writer. Since we are async and remote most of our work is written. You'll need to be able to proactively communicate in concise, clear, simple writing.
- You are an expert project manager. You need to be able to break down a large, complex business deliverable into executable pieces that can be managed as individual user stories. You need to be able to keep a project on track and cut scope when needed.
- You don't need babysitting and are a Manager of One. We love people who have started companies or have freelanced in the past. You take ownership and take things across the finish line. Especially in our remote async approach, you'll need to be intrinsically motivated and keep your projects on track.
- You have strong business and product acumen. This job isn't just writing code, we solve real business problems for real people. That means you need to be able to look beyond the user story, have empathy for our end users, and solve real problems for them.
About Us:
We're solving a problem that 62% of Americans have
62% of Americans last year thought about starting a business. The #1 reason they didn’t was because they didn’t know where to start. Currents options are:
- Going independent which is risky: no support or direction
- Paying a franchise which is expensive: franchises charge $100K+ fees to get started, take 10% of topline revenue, don't provide marketing support or technology
The market we're going after is bigger than e-Commerce
We’re disrupting the $2.3T franchise industry by removing the franchise fee and offering a tech-enabled franchise like product.
We’re starting with home painting where our biggest competitor is https://certapro.com/">CertaPro a $550M revenue franchise (1% market share) before quickly taking on https://www.neighborlybrands.com/our-brands/">Neighborly Brands as we expand categories (pest control, lawn care, etc.).
As we expand categories, our customer does not change
Our customer is an aspiring business owner, like https://www.linkedin.com/in/nicklaforest">Nick or https://www.linkedin.com/in/hardin-h-hawes-9ba6a72/">Hardin who doesn't care what type of business they start, as long as it is profitable. Our customers are not actually the one painting houses or completing roofing jobs, rather they are the one that hires people to do the job. Our customer has years of experience in sales and general management, which makes them suitable for any type of business — which is why as we expand to 100 categories, our customer does not change.
Our solution is an end to end platform to help you start, grow and run a business
Main Street is a combination of well-known technology platforms that provides an Uber-like simple experience in starting a business
- https://stripe.com/atlas">Stripe Atlas: Helping you incorporate and set up legal logistics for your business
- https://www.duolingo.com/">Duolingo: Learn a new skill (in our case it is about a specific type of business)
- https://www.shopify.com/online/ecommerce-solutions">Shopify: The operating tools to run your business
- https://www.womply.com/">Womply: A marketing stack to drive your customer
We're backed by top investors and built a world-class team
We're a seed-stage startup and have raised $10M+ from top investors including Greylock and Khosla. Our team previously worked at places like DoorDash, OpenDoor, Amazon, and OYO.

US Based Product Startup in Bangalore.
Preferred Skills:
We want to really emphasize Spring Boot (2+ years although 1+ if candidate particularly strong) Using Redis as a caching technology with Spring Boot would be a strong plus
Using Redisson (a particular java client library that can be easily configured with Spring Boot) would be a strong plus
Knowledge of event based messaging systems (Amazon SNS, Amazon MQ, or Kafka (in AWS) Data Cleaning tools and techniques in CSV and Excel
Strong Knowledge of Spring Boot Dependency Injection and Configuration
Experience with APIs for popular e-commerce platforms (Magento, Shopify, Big Commerce, etc.)
SDLC (Software Development Lifecycle) Tools in the context of AWS. (Tools classified under DevOps)
Experience with managing AWS EC2 VM instances and using AWS managed Services (like S3, MySQL, VPC/Networking, Lambda, etc)
Performance Analysis Tools (Code Profiling) on Java VM and particularly Spring Boot
Experience in the development of Workflow or Business Process ApplicationsNice to Have:
Experience with Cassandra or MongoDB with Spring Boot
Horizontal Scaling with Spring Boot (considerations running multiple instances of Spring Boot instances)
Experience with placing Spring Boot applications in Docker/Kubernetes container ecosystems (especially in AWS)
Search technologies such as Lucene/Solr- Expert in full stack development
- Analytically strong
- Seeking leadership opportunities in pre-seed stage start-ups
- Possesses good communication skills
The core role will involve the following :
- Working closely with business development teams and conceptualizing the solution architecture
- Developing mobile / web / api based solutions to address the business problem
- Maintaining cloud based technology infrastructure
- Technology budget management
- Building the technology team

An American company operating worldwide online payments
Daily monitoring of Quantum's processes to ensure file transmissions to and from the system
- Ensure that any Quantum production issues with an emphasis on the modules ( Cash Management, Bank Reconciliation, Foreign Exchange, I/C loans, Money Market, Investments, etc.) are resolved on time
- Actively working with Quantum and internal IT teams to resolve issues with bank files and data transmissions between Quantum and other systems including retrieval of market rates
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· Net, C#, VB.NET, WCF, WPF, Cloud, JavaScript, HTML, CSS, AJAX, jQuery, PHP, nodeJS, AngularJS, SQL Server 2005, 2012 · Work knowledge on Azure project is mandatory · Good to have migration project knowledge · Ability to sign up and work tasks minimally with minimal support · Work knowledge on project management tools like Rally is mandatory · Test cases creation & execution & report analysis · Requirement gathering and understanding existing system · Knowledge on Agile/Scrum model |
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.


