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One of our leading IT services is Artificial Intelligence.
- The SA must have experience in the following areas:
- GCP Infrastructure as code (knowledge of terraform, etc.) and how to deploy
- GCP Service Architecture and Tooling knowledge
- Some experience with GCP Big Query to allow for strategies when online services need to query for data (scale cost vs fixed)
- Experience with online Google tools ecosystem (Tag Manager, Optimise, GMP)
- Some knowledge of network infrastructure on GCP
- Working with security gateways
- Working with elastic infrastructure and container technologies is desirable
Greetings!!
This is Nayana representing Wissen Technology (www.wissen.com)
Job Opportunity with Wissen Technology for Java Technical Lead at Bangalore
Location
Here is the Job Description for your review:
Location: Bangalore
Experience: 9+ years
Skill – Java Technical Lead
Full-time with Wissen Technology
Hybrid model
Position Overview:
We are seeking an experienced Java Lead to join our software development team. As a Java Architect, you will be responsible for designing and leading the development of complex Java-based applications, ensuring scalability, performance, and maintainability. You will collaborate with cross-functional teams, including developers, product managers, and stakeholders, to create robust software solutions that meet our business needs.
Key Responsibilities:
Technical Expertise: A Java lead should have a strong background in Java programming and be well-versed in various Java technologies and frameworks. They should be able to provide guidance, solve complex technical problems, and help team members with code reviews and best practices.
Team Management: Java leads are responsible for managing their development team. This includes tasks like task assignment, project planning, tracking progress, and ensuring that the team adheres to coding standards and follows best practices.
Architecture and Design: They often participate in the architectural and design phases of software development, making high-level decisions about the project's structure, technology stack, and design patterns.
Code Reviews: Regularly reviewing the code written by team members to ensure it meets quality standards, is maintainable, and follows the project's design and coding guidelines.
Mentoring and Training: Providing guidance and mentorship to junior developers, helping them grow their skills, and organizing training sessions to keep the team up-to-date with Java advancements.
Problem Solving: Being able to troubleshoot technical issues and challenges that may arise during the development process.
Communication: Good communication skills are essential for a Java lead. They need to coordinate with other team leads, project managers, and stakeholders to ensure smooth project execution and to report progress.
Project Management: While not always the primary project manager, Java leads often have a role in project planning and tracking to ensure that projects are delivered on time and within scope.
Required Skills:
• Experience in Core Java 5.0 and above, CXF, and Spring.
• Experience in spring boot, and microservices.
• Extensive experience in developing enterprise-scale n-tier applications for the financial domain.
• Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.
• Good development experience with RDBMS, preferably Sybase database.
• Good knowledge of multi-threading and high-volume server-side development.
• Experience in sales and trading platforms in investment banking/capital markets.
• Basic working knowledge of Unix/Linux
• Excellent problem-solving and coding skills in Java
• Strong interpersonal, communication, and analytical skills.
• Should have the ability to express their design ideas and thoughts.
Desired Skills:
• Prior experience in the Banking & Finance domain is preferred
• Experience in AWS/Azure or any other cloud platform
About Wissen Technology:
Wissen Technology is a global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and StartUps. Wissen Technology is a part of Wissen Group and was established in the year 2015. Wissen has offices in US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals.
Wissen Technology provides exceptional value in mission-critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’. Our team consists of 1300+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.
Wissen Technology offers 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.
We have been certified as a Great Place to Work® for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider.
Career Progression:
At Wissen Technology, your career growth is important for us. Therefore, we put in several efforts towards each employee’s career progression – to enable and empower them to grow within the company as well as to instil a sense of responsibility, loyalty, and trust.
There have been instances where a software engineer has grown from being an individual contributor to a technical lead and now on the path to becoming a director responsible for growing revenues and profitability. We deeply value Ownership: taking responsibility, making it happen, not letting the ball drop, and being accountable.
Website : www.wissen.com
Why Wissen? : https://www.youtube.com/watch?v=K87DADzVT7g
Wissen Thought leadership: https://www.wissen.com/articles/
Latest in Wissen in CIO Insider :
Employee Speak:
https://www.ambitionbox.com/overview/wissen-technology-overview
LinkedIn: https://www.linkedin.com/company/wissen-technology
About Wissen Interview Process:
More on Wissen:
https://www.wissen.com/blog/here-is-what-ownership-and-commitment-mean-to-wissenites/
Regards,
Nayana KM
Principal Consultant - Talent Acquisition
Wissen
W www.wissen.com

Senior Data Engineer Job Description
Overview
The Senior Data Engineer will design, develop, and maintain scalable data pipelines and
infrastructure to support data-driven decision-making and advanced analytics. This role requires deep
expertise in data engineering, strong problem-solving skills, and the ability to collaborate with
cross-functional teams to deliver robust data solutions.
Key Responsibilities
Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data
pipelines to ingest, process, and transform large volumes of structured and unstructured data.
Data Architecture: Architect and maintain data storage solutions, including data lakes, data
warehouses, and databases, ensuring performance, scalability, and cost-efficiency.
Data Integration: Integrate data from diverse sources, including APIs, third-party systems,
and streaming platforms, ensuring data quality and consistency.
Performance Optimization: Monitor and optimize data systems for performance, scalability,
and cost, implementing best practices for partitioning, indexing, and caching.
Collaboration: Work closely with data scientists, analysts, and software engineers to
understand data needs and deliver solutions that enable advanced analytics, machine
learning, and reporting.
Data Governance: Implement data governance policies, ensuring compliance with data
security, privacy regulations (e.g., GDPR, CCPA), and internal standards.
Automation: Develop automated processes for data ingestion, transformation, and validation
to improve efficiency and reduce manual intervention.
Mentorship: Guide and mentor junior data engineers, fostering a culture of technical
excellence and continuous learning.
Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high
availability and reliability of data systems.
Required Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,
or a related field.
Experience: 5+ years of experience in data engineering or a related role, with a proven track
record of building scalable data pipelines and infrastructure.
Technical Skills:
Proficiency in programming languages such as Python, Java, or Scala.
Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).
Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services
(e.g., Redshift, BigQuery, Snowflake).
Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and
data integration frameworks.
Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed
systems.
Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a
plus.
Soft Skills:
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.
Ability to work in a fast-paced, dynamic environment and manage multiple priorities.
Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,
Google Professional Data Engineer) or relevant data engineering certifications.
Preferred Qualifica
Experience with real-time data processing and streaming architectures.
Familiarity with machine learning pipelines and MLOps practices.
Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data
pipelines.
Experience in industries with high data complexity, such as finance, healthcare, or
e-commerce.
Work Environment
Location: Hybrid/Remote/On-site (depending on company policy).
Team: Collaborative, cross-functional team environment with data scientists, analysts, and
business stakeholders.
Hours: Full-time, with occasional on-call responsibilities for critical data systems.


WHO WE ARE:
TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.
We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.
In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions.
OUR VALUES: Go with your GUT
- Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses.
- Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully.
- I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together.
Responsibilities:
- Develop user-facing features such as web apps and landing portals.
- Ensure the feasibility of UI/UX designs and implement them technically.
- Create reusable code and libraries for future use.
- Optimize applications for speed and scalability.
- Contribute to the entire implementation process, including defining improvements based on business needs and architectural enhancements.
- Promote coding, testing, and deployment of best practices through research and demonstration.
- Review frameworks and design principles for suitability in the project context.
- Demonstrate the ability to identify opportunities, lay out rational plans, and see them through to completion.
Requirements:
- Bachelor’s degree in Engineering with 10+ years of software product development experience.
- Proficiency in React, Django, Pandas, GitHub, AWS, and JavaScript, Python
- Strong knowledge of PostgreSQL, MongoDB, and designing REST APIs.
- Experience with scalable interactive web applications.
- Understanding of software design constructs and implementation.
- Familiarity with ORM libraries and Test-Driven Development.
- Exposure to the Finance domain is preferred.
- Knowledge of HTML5, LESS/CSS3, jQuery, and Bootstrap.
- Expertise in JavaScript fundamentals and front-end/back-end technologies.
Nice to Have:
- Strong knowledge of website security and common vulnerabilities.
- Exposure to financial capital markets and instruments.
Compensation and Benefits Package:
- Competitive compensation with a discretionary annual bonus.
- Performance-linked variable compensation.
- Medical insurance.
A note on location. While we have team centers in Boulder, New York City, San Francisco, Charlotte, and Mumbai, this role is based out of Bangalore
TIFIN is an equal-opportunity workplace, and we value diversity in our workforce. All qualified applicants will receive consideration for employment without regard to any discrimination.
Sales Associate
Company Description
Miko is an advanced artificial intelligence innovation lab with a mission to bring AI and robotics to every consumer home. Headquartered in Mumbai, India, our workforce spans several countries, including the United States, Canada, Europe, and the Middle East. To check out various product offerings, visit Miko's website
Position Introduction:
- Generate revenue by demonstrating our product in Hamleys store and closing sales either over the phone or face-to-face.
- Work with cutting-edge technology designed to reduce kids' screen time while making learning fun at an early age.
- Successful candidates may have opportunities for training, leadership roles, and managing key business accounts.
Responsibilities:
- Explain Miko Robot benefits to customers.
- Suggest suitable apps and features to the customers.
- Handling stocks.
- Coordinate within the teams.
- Provide daily sales reports and customer service.
- Meet monthly sales targets by demonstrating and selling the product in Hamleys store.
- Convert free app users into paid customers through emails, SMS, and direct sales.
Requirements:
- Good communication skills in English and regional language.
- Ability to plan and execute tasks.
- Persuasion and negotiation skills.
- Work well under pressure.
- Team player.
- Quick learner, detail-oriented, and self-motivated.
- Interest in marketing.
- Enthusiasm for technology.
Work Timings: 6 days a week and 9 hours a day (11am to 8pm/12pm to 9pm)
Working on Saturday and Sunday's is mandatory (No exception for this)
One day in a week will be declared as week off.
Openings at: Mumbai Onsite (BKC, Jio World Drive), Bangalore Onsite (Phoenix Market City), Kochi- (Lulu Mall), Hyderabad (Sarath City and Inorbit Mall)
Position: Supervisor - Logistics
Location: Bangalore (Jakkanahalli Cross, T Begur, Nh-4, Nelamangala)
Payroll: Randstad
Candidate Profile
-
2 to 5 years of Experience.
-
Excellent communication skills with good Knowledge of Kannada & English. Knowledge of Tamil, Telugu and Hindi will be added advantage.
-
Candidate should be from Logistics background with sound understanding of local and interstate Transportation.
-
Open to Travel to Tamil Nadu, Karnataka, AP, Telanga and Kerala for collection of material.
-
Well versed with documentation involved in domestic transportation.
-
Understanding of Warehouse operations (Collection, Unloading, Packing, Loading, Dispatch).
-
Skills required – problem solving, negotiation
-
Computer Knowledge is must
Job description
-
Manage contract vehicles and hire vehicles from market for day to day operations.
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Co-ordinate with corporate Logistics team, Customer and collection team for timely execution of orders.
-
Responsible for timely packaging and movement of material.
-
Meeting with clients/site visit to understand the requirements.
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Prepare route plan as per business requirement.
-
Resolve day to day operational challenges.
-
SOP Implementation and adherence.
-
Maintain and share reports.

- Bachelor’s degree in Computer / Information Science (BE / BTech) or Master’s in Computer Applications (MCA) Experience:
- Two to five years general software engineering experience
- Experience in web development using the Ruby on Rails web application framework
- At least two years of Ruby on Rails programming experience
- Thorough understanding of the philosophy and design of Ruby on Rails
- Desktop publishing skills: HTML5, xHTML, CSS
Knowledge of:
- JavaScript and JavaScript libraries: jQuery, Plugins etc.
- Unix and Linux systems
- Relational databases: SQL, etc.
- Frameworks: Active record, etc.
- Servers: Nginx, Mongrel, Webrick
- Performance management using New Relic, Web Page Test tools
- SEO rules, minification, rails asset pipelines
- REST APIs and their usage
Highly preferred experience:
- Ability to work with the Amazon EC2, S3, and EBS services
- NoSQL databases: MongoDB, Memcached, CouchDB
- Git, SVN
- Proactive and resourceful person who achieves tasks with minimal oversight
- Team player with the ability and desire to become an integral part of a fast-paced team
- Ability to handle multiple tasks in parallel
Data Platform engineering at Uber is looking for a strong Technical Lead (Level 5a Engineer) who has built high quality platforms and services that can operate at scale. 5a Engineer at Uber exhibits following qualities:
- Demonstrate tech expertise › Demonstrate technical skills to go very deep or broad in solving classes of problems or creating broadly leverageable solutions.
- Execute large scale projects › Define, plan and execute complex and impactful projects. You communicate the vision to peers and stakeholders.
- Collaborate across teams › Domain resource to engineers outside your team and help them leverage the right solutions. Facilitate technical discussions and drive to a consensus.
- Coach engineers › Coach and mentor less experienced engineers and deeply invest in their learning and success. You give and solicit feedback, both positive and negative, to others you work with to help improve the entire team.
- Tech leadership › Lead the effort to define the best practices in your immediate team, and help the broader organization establish better technical or business processes.
What You’ll Do
- Build a scalable, reliable, operable and performant data analytics platform for Uber’s engineers, data scientists, products and operations teams.
- Work alongside the pioneers of big data systems such as Hive, Yarn, Spark, Presto, Kafka, Flink to build out a highly reliable, performant, easy to use software system for Uber’s planet scale of data.
- Become proficient of multi-tenancy, resource isolation, abuse prevention, self-serve debuggability aspects of a high performant, large scale, service while building these capabilities for Uber's engineers and operation folks.
What You’ll Need
- 7+ years experience in building large scale products, data platforms, distributed systems in a high caliber environment.
- Architecture: Identify and solve major architectural problems by going deep in your field or broad across different teams. Extend, improve, or, when needed, build solutions to address architectural gaps or technical debt.
- Software Engineering/Programming: Create frameworks and abstractions that are reliable and reusable. advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, Go, and Scala.
- Data Engineering: Expertise in one of the big data analytics technologies we currently use such as Apache Hadoop (HDFS and YARN), Apache Hive, Impala, Drill, Spark, Tez, Presto, Calcite, Parquet, Arrow etc. Under the hood experience with similar systems such as Vertica, Apache Impala, Drill, Google Borg, Google BigQuery, Amazon EMR, Amazon RedShift, Docker, Kubernetes, Mesos etc.
- Execution & Results: You tackle large technical projects/problems that are not clearly defined. You anticipate roadblocks and have strategies to de-risk timelines. You orchestrate work that spans multiple teams and keep your stakeholders informed.
- A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on others’ candid feedback for continuous improvement.
- Business acumen: You understand requirements beyond the written word. Whether you’re working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.
