Tata Consultancy Services
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HTML/CSS
JavascriptKey Responsibilities:
- Design, develop, and implement websites and components within Adobe Experience Manager (AEM).
- Develop and customize AEM components, templates, dialogs, workflows, servlets, and OSGi services.
- Integrate AEM with external systems and third-party services (CRM, DAM, Analytics, etc.).
- Implement responsive front-end solutions using HTML5, CSS3, JavaScript, ReactJS/Angular, and Sightly/HTL.
- Work closely with AEM Architects to ensure technical alignment and best practices.
- Optimize performance of AEM pages and ensure adherence to SEO and accessibility standards.
- Manage AEM environments, deployments, and configurations.
- Provide technical guidance and mentorship to junior developers.
- Collaborate with QA and DevOps teams for CI/CD automation and deployment pipelines.
- Troubleshoot and resolve AEM production issues.
Amazon Web Services (AWS)Job Title: PySpark/Scala Developer
Functional Skills: Experience in Credit Risk/Regulatory risk domain
Technical Skills: Spark ,PySpark, Python, Hive, Scala, MapReduce, Unix shell scripting
Good to Have Skills: Exposure to Machine Learning Techniques
Job Description:
5+ Years of experience with Developing/Fine tuning and implementing programs/applications
Using Python/PySpark/Scala on Big Data/Hadoop Platform.
Roles and Responsibilities:
a) Work with a Leading Bank’s Risk Management team on specific projects/requirements pertaining to risk Models in
consumer and wholesale banking
b) Enhance Machine Learning Models using PySpark or Scala
c) Work with Data Scientists to Build ML Models based on Business Requirements and Follow ML Cycle to Deploy them all
the way to Production Environment
d) Participate Feature Engineering, Training Models, Scoring and retraining
e) Architect Data Pipeline and Automate Data Ingestion and Model Jobs
Skills and competencies:
Required:
· Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performance
Data and macro-economic data to solve business problems.
· Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in
Credit Risk/Banking
· Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.
- Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
- Experience in systems integration, web services, batch processing
- Experience in migrating codes to PySpark/Scala is big Plus
- The ability to act as liaison conveying information needs of the business to IT and data constraints to the business
applies equal conveyance regarding business strategy and IT strategy, business processes and work flow
· Flexibility in approach and thought process
· Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED
Desired Competencies (Technical/Behavioral Competency)
Must-Have
· Strong understanding of Kafka concepts, including topics, partitions, consumers, producers, and security.
· Experience with testing Kafka Connect, Kafka Streams, and other Kafka ecosystem components.
· API Testing Experience
· X-RAY and Test Automation Experience
· Expertise with Postman/SOAP
· Agile/JIRA/Confluence
· Strong familiarity such as XML, JSON, CSV, Avro, etc.
· Strong hands-on SQL, Mongo.
· Continuous integration and automated testing.
· Working knowledge and experience of Git.
Good-to-Have
· Troubleshoot Kafka related issues, Strong in Kafka client configuration and troubleshooting
SN
Responsibility of / Expectations from the Role
1
Engage with the customer to understand the requirements, provide technical solutions, provide value added suggestions
2
Help build and manage the team of Kafka and Java developers in the near future.
Scala
PythonSkills and competencies:
Required:
· Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performance
Data and macro-economic data to solve business problems.
· Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in
Credit Risk/Banking
· Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.
- Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
- Experience in systems integration, web services, batch processing
- Experience in migrating codes to PySpark/Scala is big Plus
- The ability to act as liaison conveying information needs of the business to IT and data constraints to the business
applies equal conveyance regarding business strategy and IT strategy, business processes and work flow
· Flexibility in approach and thought process
· Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED
• Technical expertise in the area of development of Master Data Management, data extraction, transformation, and load (ETL) applications, big data using existing and emerging technology platforms and cloud architecture
• Functions as lead developer• Support System Analysis, Technical/Data design, development, unit testing, and oversee end-to-end data solution.
• Technical SME in Master Data Management application, ETL, big data and cloud technologies
• Collaborate with IT teams to ensure technical designs and implementations account for requirements, standards, and best practices
• Performance tuning of end-to-end MDM, database, ETL, Big data processes or in the source/target database endpoints as needed.
• Mentor and advise junior members of team to provide guidance.
• Perform a technical lead and solution lead role for a team of onshore and offshore developers
Responsibility of / Expectations from the Role
Assist in the design and implementation of Snowflake-based analytics solution (data lake and data warehouse) on Azure.
Profound experience in designing and developing data integration solutions using ETL tools such as DBT.
Hands-on experience in the implementation of cloud data warehouses using Snowflake & Azure Data Factory
Solid MS SQL Server skills including reporting experience.
Work closely with product managers and engineers to design, implement, test, and continually improve scalable data solutions and services running on DBT & Snowflake cloud platforms.
Implement critical and non-critical system data integration and ingestion fixes for the data platform and environment.
Ensuring root cause resolution to identified problems.
Monitor and support the Data Solutions jobs and processes to meet the daily SLA.
Analyze the current analytics environment and make recommendations for appropriate data warehouse modernization and migration to the cloud.
Develop Snowflake deployment (Using Azure DevOPS or similar CI/CD tool) and usage best practices.
Follow best practices and standards around data governance, security and privacy.
Comfortable working in a fast-paced team environment coordinating multiple projects.
Effective software development life cycle management skills and experience with GitHub
Leverage tools like Fivetran, DBT, Snowflake, GitHub, to drive ETL, data modeling and analytics.
Data transformation and Data Analytics Documentation
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We are a software product company and we are on a mission to decarbonize the world.
Intelligent analytics is one of the most powerful tools we have to achieve this goal. Our tech stack is built around Python, Django, VueJS, and D3.
We believe that the most rewarding work is often the most challenging and we embrace challenges that push us to our limits. The challenge of doing simple things well appeals to us.
こだわり (kodawari), a Japanese term for the uncompromising and relentless pursuit of perfection through attention to detail, is at the heart of our approach.
We advise portfolios that include renewable generation, standalone storage and generation plus storage assets across a range of activities including project development, valuation, project finance, operation, optimization, and risk management. We provide regional coverage in the US, EMEA, and APAC. Our customers include asset owners, asset operators, and institutional investors (debt and equity). Read more at 1E9 Advisors (enine.dev) & Financial Machines (finmachines.com)
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Welcome to Fundly! - http://fundly.ai
We're on a mission to empower millions of small retailers and distributors across India, making them future-ready. Fundly.ai is a pioneering fintech platform nestled within the healthcare sector, providing innovative financing and allied solutions to the pharma distribution tail, specialty players, and brands.
Since our inception in early 2021, we've made significant strides. We've empowered over 2800 retailers and 40 distributors across 590+ PIN codes, disbursing funds worth more than INR 286+ Cr. We're honored to play a vital role in the pharma retail ecosystem, supporting small business owners and their communities with short-term credit.
Founded by experienced industry professionals with a cumulative experience of 30+ years, Fundly has rapidly expanded. In less than 2 years, we've grown to a team of over 50 passionate individuals spread across 12 cities. With an AUM of INR 100+ crores and USD 3M raised in venture capital, we're poised for even greater success.
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Shoppin' - if Pinterest and Google had an AI-powered baby 🍓
Here’s why:
shoppin' isn't just another AI powered tech platform.
we’re crafting a groundbreaking fashion search and shopping platform, one that outshines Google’s search capabilities, offers more intuitive recommendations than Pinterest, and engages users more deeply than Instagram’s feeds.
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🚀 We have raised a funding of $1M pre-seed and will be raising another round very soon. Our aim is built the best founding team out there and we are scaling up our hiring efforts rapidly.
🍓Apply now to become a part of our creative force dedicated to shaping the future of fashion.
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Joining the team behind the world’s most trusted artifact firewall isn’t just a job - it’s a mission.
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This company provides software tools to help development teams manage open-source code securely and efficiently. Its platform covers artifact management, automated policy enforcement, vulnerability detection, software bill of materials (SBOM) management, and AI-powered risk analysis. It's used globally by thousands of enterprises and millions of developers to secure their software supply chains.
👥 Founding Team
The company was founded in the late 2000s by a group of open-source contributors, including one who was heavily involved in building a popular Java-based build automation tool. The company was started by veteran engineers with deep roots in the open-source community—one of whom helped create a widely adopted build automation tool used by millions today.
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Over the years, the company has raised nearly $150 million across several funding rounds, including a large growth round led by a top-tier private equity firm. It crossed $100 million in annual recurring revenue around 2021 and has remained profitable since. Backers include well-known names in venture capital and private equity.
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👉 Join us to build technology that actually matters. Explore open roles on our LinkedIn Careers Page.
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