SEO Strategist -Minimum 7 Years

Job Title : Senior AWS Data Engineer

Experience : 5+ Years

Location : Gurugram

Employment Type : Full-Time

Job Summary :

Seeking a Senior AWS Data Engineer with expertise in AWS to design, build, and optimize scalable data pipelines and data architectures. The ideal candidate will have experience in ETL/ELT, data warehousing, and big data technologies.

Key Responsibilities :

• Build and optimize data pipelines using AWS (Glue, EMR, Redshift, S3, etc.).
• Maintain data lakes & warehouses for analytics.
• Ensure data integrity through quality checks.
• Collaborate with data scientists & engineers to deliver solutions.

Qualifications :

• 7+ Years in Data Engineering.
• Expertise in AWS services, SQL, Python, Spark, Kafka.
• Experience with CI/CD, DevOps practices.
• Strong problem-solving skills.

Preferred Skills :

• Experience with Snowflake, Databricks.
• Knowledge of BI tools (Tableau, Power BI).
• Healthcare/Insurance domain experience is a plus.

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits

every day. If you thrive in high-stakes environments and have a deep passion for performance driven backend systems, we want you.

What We Expect:

• We’re looking for a Backend Developer (Python) with a strong foundation in backend technologies and

a deep interest in scalable, low-latency systems.

• You should have 3–4 years of experience in Python-based development and be eager to solve complex

performance and scalability challenges in trading and fintech applications.

• You measure success by your own growth, not external validation.

• You thrive on challenges, not on perks or financial rewards.

• Taking calculated risks excites you—you’re here to build, break, and learn.

• You don’t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading

environment.

• You understand the stakes—milliseconds can make or break trades, and precision is everything.

What You Will Do:

• Develop and maintain scalable backend systems using Python.

• Design and implement REST APIs and socket-based communication.

• Optimize code for speed, performance, and reliability.

• Collaborate with frontend teams to integrate server-side logic.

• Work with RabbitMQ, Kafka, Redis, and Elasticsearch for robust backend design.

• Build fault-tolerant, multi-producer/consumer systems.

Must-Have Skills:

• 3–4 years of experience in Python and backend development.

• Strong understanding of REST APIs, sockets, and network protocols (TCP/UDP/HTTP).

• Experience with RabbitMQ/Kafka, SQL & NoSQL databases, Redis, and Elasticsearch.

• Bachelor’s degree in Computer Science or related field.

Nice-to-Have Skills:

• Past experience in fintech, trading systems, or algorithmic trading.

• Experience with GoLang, C/C++, Erlang, or Elixir.

• Exposure to trading, fintech, or low-latency systems.

• Familiarity with microservices and CI/CD pipelines.

JOB DESCRIPTION:

• Design, develop, and maintain low-latency, high-performance enterprise applications using Core Java (Java 5.0 and above).
• Implement and integrate APIs using Spring Framework and Apache CXF.
• Build microservices-based architecture for scalable and distributed systems.
• Collaborate with cross-functional teams for high/low-level design, development, and deployment of software solutions.
• Optimize performance through efficient multithreading, memory management, and algorithm design.
• Ensure best coding practices, conduct code reviews, and perform unit/integration testing.
• Work with RDBMS (preferably Sybase) for backend data integration.
• Analyze complex business problems and deliver innovative technology solutions in the financial/trading domain.
• Work in Unix/Linux environments for deployment and troubleshooting.

Required Skills & Experience:

• 4– 12 years of strong hands-on experience in Core Java.
• Deep understanding of Object-Oriented Programming (OOP), data structures, algorithms, and design patterns.
• Proven experience with Spring, CXF, and REST/SOAP web services.
• Solid understanding of microservices architecture and distributed systems.
• Experience working with Sybase or other relational databases.
• Expertise in multithreading, concurrency, and high-throughput server-side development.
• Exposure to capital markets, sales & trading platforms, or similar financial services applications.
• Good working knowledge of Unix/Linux environments.
• Experience in solution architecture and design documentation is a strong plus.
• Strong problem-solving skills, analytical thinking, and a proactive attitude.
• Excellent communication and interpersonal skills to work effectively with global teams.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Previous experience in investment banking, capital markets, or financial technology domains.

Why Join Wissen Technology?

• Be a part of a high-growth organization that has expanded 400% in the last five years.
• Work alongside leadership and engineers from IITs, IIMs, MIT, Wharton, and other top institutions.
• Engage with Fortune 500 clients and deliver high-impact projects.
• Certified as a Great Place to Work®.
• Recognized as a Top 20 AI/ML Vendor by CIO Insider (2020).
• Work on next-gen technologies: AI/ML, Big Data, Cloud, DevOps, RPA, and more.
• Global presence across US, India, UK, Australia, Mexico, and Canada.

Website : www.wissen.com 

1. Curriculum Development: Collaborate with Academic Advisory Committee and Marketing team members to design and develop comprehensive curriculum for data science programs at undergraduate and graduate levels. Ensure alignment with industry trends, emerging technologies, and best practices in data science education.
2. Faculty Recruitment and Development: Lead the recruitment, selection, and development of faculty members with expertise in data science. Provide mentorship, support, and professional development opportunities to faculty to enhance teaching effectiveness and academic performance.
3. Quality Assurance: Establish and maintain robust mechanisms for quality assurance and academic oversight. Implement assessment strategies, evaluation criteria, and continuous improvement processes to ensure the delivery of high-quality education and student outcomes.
4. Student Engagement: Foster a culture of student engagement, innovation, and success. Develop initiatives to support student learning, retention, and career readiness in the field of data science. Provide academic counselling and support services to students as needed.
5. Industry Collaboration: Collaborate with industry partners, employers, and professional organizations to enhance experiential learning opportunities, internships, and job placement prospects for students. Organize industry events, guest lectures, and networking opportunities to facilitate knowledge exchange and industry engagement.
6. Research and Innovation: Encourage research and innovation in data science education. Facilitate faculty research projects, interdisciplinary collaborations, and scholarly activities to advance knowledge and contribute to the academic community.

Budget Management: Develop and manage the academic budget in collaboration with the finance department. Ensure efficient allocation of resources to support academic programs, faculty development, and student services.

Mandatory Criteria

• Chartered Accountant (CA) qualification required.
• Strong command over Tally or equivalent accounting software.
• Proficiency in financial reporting, cost accounting, and budget management.
• In-depth understanding of direct and indirect tax laws.
• Experience in manufacturing industry accounting practices.
• Advanced Excel and data analysis skills.
• Strong communication, attention to detail, and problem-solving abilities.

OKR

• Prepare monthly MIS, P&L, balance sheets, and cashflow statements.
• Monitor and review project budgets to ensure adherence and cost control.
• Oversee daily accounting operations, ledgers, and reconciliations.
• Ensure accurate and timely statutory compliance (GST, TDS, PF, PT, ESIC).
• Support budgeting, forecasting, and audit preparation activities.
• Collaborate with cross-functional teams for financial planning and reporting.

If interested kindly share your resume at 82008 31681

About the Role:

The role focuses on IS UAM/Security Solution Architect with expertise in R/3, S/4 HANA, and Fiori Security.

Key Responsibilities:

1. Strong hands-on experience in R/3, S4HANA authorization maintenance and roles administration.
2. Role design and maintenance for Fiori application in embedded and hub deployment.
3. Experience in R/3 to S4 Hana migration in the Security domain.
4. BI/BW Analysis authorization maintenance.
5. Experience with Rollouts & Upgrade related activities in R/3 and GRC.
6. Work with CHARM (change request management) in Solman for UAM domain.
7. Understanding GRC Access Control (ARA, ARM, EAM, and BRM) along with SoD concepts & SOX compliance, R/3, S/4 HANA, BW, FIORI authorization maintenance.
8. Understanding ITGC Access controls in SAP landscape.

Behavioral Requirements:

Ability to work collaboratively within a team supporting co-workers with a strong commitment and determination towards the overall success of the group. Excellent communication skills, strong business experience, and end-user interaction are essential.

Requirements:

1. Degree in Engineering with more than 10 years of hands-on implementation experience of Core SAP ECC and S/4 HANA Modules, with GRC knowledge being an added advantage.
2. Experience as a Senior Consultant/Solution architect on large SAP implementations with the ability to analyze requirements and build intuitive solutions.
3. Must have exposure to integration processes between SAP Modules including Interfaces.
4. Experience in SAP Cloud Application (BTP/IAG)/ITGC will be added advantage.
5. Strong analytical and communication skills with the capability to communicate to all levels of the business.

Solution Architect

10+ years of experience in leading solution architecture & technical development. A bachelor's degree in Computer Science, Engineering, or a comparable field from an accredited institution.

Key Responsibilities

• Enable customer to realize their stated IT vision and strategy

• Lead development of solution architecture and design across a set of applications or an application/product family within an enterprise

• Provide guidance/consultancy for the execution and delivery of project from a solutioning and technology perspective

• Provide a strategic solutioning perspective to a project/engagement

• Demonstrate strong leadership skills and astuteness

• Design and Architect end to end solutions content that characterizes what products or services are being proposed and how these services will be delivered

• Estimate for Project or Program Management and or technical effort to drive scope and produce deliverables

Required Knowledge and Skills

• Deep understanding of the Software development, mobile development, application support, cloud, mobility and infra services.

• Should be proficient with the languages, tools, and frameworks core to software development, mobility iOS or Android development

• Demonstrate very strong skills in documenting architecture and preparing technical papers to explain architectural motivations/strategy or rationale

• Create technology focused roadmap for a set of projects within a program

• Must have an understanding of various Architectures and frameworks

• Produce estimates for the whole program using estimation methodologies and customizations appropriate to the program

• Work closely with project/program manager and advise on execution methodology/strategy, timelines, resources and project commercials

• Excellent interpersonal and communication skills

• Experience in agile methodologies and best practices

What you’ll do:

• Translation of text from English to Odia
• Contribute to Word pool of Odia language database.
• Content creation.
• Research work on Odia language contents, web pages, applications.
• Testing and enhancement of proprietary language technologies
• Development of internal tools
• Maintaining records of work received and work performed etc.

Who you are:

• Graduation/Post graduation in language, Journalism or Mass Communication
• Diploma in Translation will be an added advantage
• Excellent command over English and Odia language
• Working knowledge of text entry in Odia language
• Working experience on Unicode text.
• Good knowledge of computer usage including MS Word and Excel 
• Experience in translation/copy-writing or creative writing

The Job
The Architect, Machine Learning and Artificial Intelligence including Computer Vision will grow and lead a team of talented Machine Learning (ML), Computer Vision (CV) and Artificial Intelligence (AI) researchers and engineers to develop innovative machine learning algorithms, scalable ML system, and AI applications for Racetrack. This role will be focused on developing and deploying personalization and recommender system, search, experimentation, audience, and content AI solutions to drive user experience and growth.

The Daily

• Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modelling approaches to support product, engineering, content, and marketing initiatives.
• Build and lead a world-class team of ML and AI scientists and engineers.
• Be a hands-on leader to mentor the team in latest machine learning and deep learning approaches, and to introduce new technologies and processes. Single headedly manage the MVP and PoCs
• Work with ML engineers to design solution architecture and develop scalable machine learning system to accelerate learning cycle.
• Identify data science opportunities that deliver business value.
• Develop ML/AI/CV roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
• Hands on experience in Image processing for auto industry
• BFSI domain knowledge is a plus
• Provide thought leadership to enable ML/AI applications.
• Manage products priorities and ensure timely delivery.
• Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
• Prepare and present ML modelling results and analytical insights that help drive the business to senior leadership.

The Essentials

• 8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
• 4 + years of managing a team of data scientists, ML and AI researchers and engineers
• Strong machine learning, deep learning, and statistical modelling expertise, such as causal inference modelling, ensembles, neural networks, reinforcement learning, NLP, and computer vision
• Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.)
• Proficiency in machine learning and deep learning languages and platforms (Python, R, TensorFlow, Keras, PyTorch, MXNet etc.)
• Experience in deploying machine learning algorithms and advanced modelling solutions
• Experience in developing advanced analytics and ML infrastructure and system
• Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
• Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience
• Works effectively cross functional teams to build trusted partnership
• Working experience in digital media and entertainment industry preferred
• Experience with Agile methodologies preferred