Database Developer (Snowflake)
4 - 8 yrs
₹14L - ₹28L / yr
Bengaluru (Bangalore)
Skills
SQL
PythonInformatica
Data Transformation Tool (DBT)
Job Description:
We are looking for a skilled Database Developer with strong hands-on experience in SQL + Informatica and programming knowledge in Java or Python. The ideal candidate will design, develop, and maintain robust ETL pipelines and database solutions while collaborating with cross-functional teams to support business data needs and analytics initiatives.
Key Responsibilities:
- Design, develop, and optimize SQL queries, stored procedures, triggers, and views for high performance and scalability.
- Develop and maintain ETL workflows using Informatica PowerCenter (or Informatica Cloud).
- Integrate and automate data flows between systems using Java or Python for custom scripts and applications.
- Perform data analysis, validation, and troubleshooting to ensure data accuracy and consistency across systems.
- Work closely with business analysts, data engineers, and application teams to understand data requirements and translate them into efficient database solutions.
- Implement performance tuning, query optimization, and indexing strategies for large datasets.
- Maintain data security, compliance, and documentation of ETL and database processes.
Required Skills & Experience:
- Bachelor’s degree in Computer Science, Information Technology, or related field.
- 5–8 years of hands-on experience as a SQL Developer or ETL Developer.
- Strong proficiency in SQL (Oracle, SQL Server, or PostgreSQL).
- Hands-on experience with Informatica PowerCenter / Informatica Cloud.
- Programming experience in Java or Python (for automation, data integration, or API handling).
- Good understanding of data warehousing concepts, ETL best practices, and performance tuning.
- Experience working with version control systems (e.g., Git) and Agile/Scrum methodologies.
Good to Have:
- Exposure to cloud data platforms (AWS, Azure, or GCP).
- Familiarity with Unix/Linux scripting.
- Experience in data modeling and data governance frameworks.
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About Wissen Technology
Founded :
2000
Type :
Products & Services
Size :
1000-5000
Stage :
Profitable
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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Company social profiles
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Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
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and others.
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development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
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● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
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such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
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successful delivery.
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● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
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● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● 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.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
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Kafka)
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serving latency.
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● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
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XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
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● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases 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.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric 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.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
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● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
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● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
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● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Read more
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| Title | Sales- Corporate Trainer & Coach |
| Location | Mumbai- Marol |
| Requirement | Ability to manage the full training cycle, including in-person activities and web-based learning · Hands-on experience with e-learning platforms · Excellent organizational skills · Solid communication and presentation abilities · Expertise in sales processes, methodologies, and skills (prospecting, qualifying, call management, negotiation, closing). · Demonstrated success in selling courses or educational products and effectively building customer relationships that met or exceeded quota. · Understanding of key industries/market segments, product/solution offerings, and available selling resources and engagement process, competitors and differentiation. · Ability to quickly display mastery over EduBridge products, services, buyers, markets, systems and sales approaches. · Display high EQ- ability to build trust, positive relationships and advance projects through influence rather than authority. · High degree of business acumen, including highly polished internal and customer facing presentation skills. · Ability to analyze and draw insights from data. · Strong interpersonal, organizational and time management skills. · Ability to multi-task in a fast-paced environment, act efficiently, and collaborate with all levels of the organization. |
| Education | Graduate/Post Graduate (Any Stream) Professional certifications in sales training like Certified Inside Sales Professional (CISP), Certified Sales & Marketing Professional will be preferred. Proven work experience as a Sales Trainer or similar role 3+ years and above experience in a sales position is a plus |
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Bengaluru (Bangalore)
2 - 3 yrs
₹6L - ₹8L / yr
iOS App Development
Objective C
SwiftModel-View-View-Model (MVVM)
Here is a chance to work for a Consumer Electronics Brand, where you get to deal with some of the best channels and work with some excellent experienced minds. Read on.
Started in 2015, this lifestyle and accessories startup has taken over the consumer electronics sector in India. Our client has a product range that includes an extensive catalog of headphones, speakers, travel accessories, and modern earphones. It believes in providing cutting edge electronic products stamped with durability and affordability.
The brand is associated with some of the major icons across categories and tie-ups with industries covering fashion, sports, and music, of course. The founders are Marketing grads, with vast experience in the consumer lifestyle products and other major brands. With their vigorous efforts toward quality and marketing, they have been able to strike a chord with major E-commerce brands and even consumers.
The brand is associated with some of the major icons across categories and tie-ups with industries covering fashion, sports, and music, of course. The founders are Marketing grads, with vast experience in the consumer lifestyle products and other major brands. With their vigorous efforts toward quality and marketing, they have been able to strike a chord with major E-commerce brands and even consumers.
As a iOs App Engineer, you will be responsible for the development and maintenance of applications aimed at a range of iOS devices. Your primary focus will be the development of iOS applications and their integration with back-end services. You will be working alongside other engineers and developers working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.
What you will do:
- Designing and building advanced applications for the iOS platform
- Collaborating with cross-functional teams to define, design, and ship new features
- Unit-test coding for robustness, including edge cases, usability, and general reliability
- Working on bug fixing and improving application performance
- Continuously discovering, evaluating and implementing new technologies to maximize development efficiency
Desired Candidate Profile
What you need to have:- Bachelor's degree in Computer Science or related technical discipline
- 3-6 years iOS app development experience
- Strong hands on experience in developing high performance mobile applications
- Strong analytical and problem solving skills
- Excellent oral and written communication skills
- Good logical sense, strong technical skills and the ability to learn new technologies quickly
- Expert with Swift (swift 4.0 & above) and Cocoa Touch
- Experience with iOS frameworks such as Core Data, Core Animation, etc.
- Experience with offline storage, threading, and performance tuning
- Must have experience in BLE and BT
- Familiarity with RESTful APIs to connect iOS applications to back-end services
- Understanding of Apples design principles and interface guidelines
- Experience with performance and memory tuning with tools such as Instruments and Shark
- Familiarity with cloud message APIs and push notifications
- Familiarity with the MVC and MVVM design patterns
- Knowledge of the open-source ecosystem and the libraries available for common tasks
- Experience building, testing and distributing native apps that consume RESTful services
- Hands-on coding, systems analysis, design, and delivery of projects assigned
- At least three native iPhone applications deployed in the marketplace
- Should have Knowledge in Apple Certificate/Profile creation and maintenance
- Knowledge in SDK integration into iOS app & Realm Database is an added advantage
- Proficient understanding of code versioning tools such as GIT
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Remote, Miami
3 - 7 yrs
₹2L - ₹4L / yr
Sales
Communication Skills
English Proficiency
Final Cut Pro
Video Editing
We are looking for a full time employ to work in our sales department. The responsibility that this intitle will require to make phone calls to potential clients. Send follow up emails. Make marketing flyers and videos.
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