Video Editor

Ideal Candidate

Experience: 5- 6 years of proven experience as a UI/UX Designer with a focus on mobile app design (iOS & Android). Proven experience in building high-quality consumer-facing apps

Design Portfolio: A strong portfolio that showcases your design process, wireframes, mockups, prototypes, and micro-animation work.

Figma Expertise: Proficient in Figma, with hands-on experience designing user interfaces, prototypes, and micro-animations.

Animation Skills: Solid understanding of motion design principles and experience creating micro-interactions and transitions within mobile apps.

Technical Knowledge: Familiarity with mobile app design guidelines for both iOS and Android.

Communication: Strong written and verbal communication skills. Ability to present and articulate design ideas clearly to stakeholders and team members.

Team Player: Comfortable collaborating within a cross-functional team environment, and able to take constructive feedback to iterate on design solutions.

Passion for Design: A keen eye for detail, aesthetics, and a passion for creating delightful user experiences.

Responsibilities: 

• Design and develop scalable, secure, and high-performance applications using Python (Django framework). 
• Architect system components, define database schemas, and optimize backend services for speed and efficiency. 
• Lead and implement design patterns and software architecture best practices. 
• Ensure code quality through comprehensive unit testing, integration testing, and participation in code reviews. 
• Collaborate closely with Product, DevOps, QA, and Frontend teams to build seamless end-to-end solutions. 
• Drive performance improvements, monitor system health, and troubleshoot production issues. 
• Apply domain knowledge in payments and finance, including transaction processing, reconciliation, settlements, wallets, UPI, etc. 
• Contribute to technical decision-making and mentor junior developers. 

Requirements: 

• 6 to 10 years of professional backend development experience with Python and Django. 
• Strong background in payments/financial systems or FinTech applications. 
• Proven experience in designing software architecture in a microservices or modular monolith environment. 
• Experience working in fast-paced startup environments with agile practices. 
• Proficiency in RESTful APIs, SQL (PostgreSQL/MySQL), NoSQL (MongoDB/Redis). 
• Solid understanding of Docker, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure). 
• Hands-on experience with test-driven development (TDD) and frameworks like pytest, unittest, or factory_boy. 
• Familiarity with security best practices in financial applications (PCI compliance, data encryption, etc.). 

Preferred Skills: 

• Exposure to event-driven architecture (Celery, Kafka, RabbitMQ). 
• Experience integrating with third-party payment gateways, banking APIs, or financial instruments. 
• Understanding of DevOps and monitoring tools (Prometheus, ELK, Grafana). 
• Contributions to open-source or personal finance-related projects. 

Key responsibilities:

1.Client Relationship Management:

✓ Build and maintain strong relationships with clients, understanding their needs and providing prompt assistance.

✓ Ensure client satisfaction by delivering exceptional customer service and resolving issues in a timely manner.

2.Campaign Execution:

✓ Coordinate and oversee the execution of advertising campaigns at various locations.

✓ Liaise with vendors, suppliers, and external agencies to ensure timely delivery of materials and services.

✓ Monitor campaign progress, troubleshoot any issues, and provide regular updates to clients and internal teams.

3.Field Operations:

✓ Conduct field visits to ensure the smooth functioning of campaigns and resolve on-ground challenges.

✓ Supervise and manage field staff involved in campaign implementation.

✓ Maintain accurate records of field activities, expenses, and reports.

4.Documentation and Reporting:

✓ Prepare necessary documents, including campaign reports, status updates, and feedback summaries.

5.Quality Control:

✓ Ensure adherence to quality standards and brand guidelines in all campaign executions.

Specification:

Experience: 1-2yrs BTL Operation

(BTL Advertising agency experience is an added advantage)

Salary: Open to discussion

Location: JP Nagar, Bangalore

LogiNext is looking for a technically savvy and passionate Principle Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 8 to 10 years of experience in data mining, data modeling, and reporting 5+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experience in leading a team required.

Enterprise Data Architect - Dataeconomy (25+ Years Experience)

About Dataeconomy:

Dataeconomy is a rapidly growing company at the forefront of Information Technology. We are driven by data and committed to using it to make better decisions, improve our products, and deliver exceptional value to our customers.

Job Summary:

Dataeconomy seeks a seasoned and strategic Enterprise Data Architect to lead the company's data transformation journey. With 25+ years of experience in data architecture and leadership, you will be pivotal in shaping our data infrastructure, governance, and culture. You will leverage your extensive expertise to build a foundation for future growth and innovation, ensuring our data assets are aligned with business objectives and drive measurable value.

Responsibilities:

Strategic Vision and Leadership:

Lead the creation and execution of a long-term data strategy aligned with the company's overall vision and goals.

Champion a data-driven culture across the organization, fostering cross-functional collaboration and data literacy.

Advise senior leadership on strategic data initiatives and their impact on business performance.

Architecture and Modernization:

Evaluate and modernize the existing data architecture, recommending and implementing innovative solutions.

Design and implement a scalable data lake/warehouse architecture for future growth.

Advocate for and adopt cutting-edge data technologies and best practices.

ETL Tool Experience (8+ years):

Extensive experience in designing, developing, and implementing ETL (Extract, Transform, Load) processes using industry-standard tools such as Informatica PowerCenter, IBM DataStage, Microsoft SSIS, or open-source options like Apache Airflow.

Proven ability to build and maintain complex data pipelines that integrate data from diverse sources, transform it into usable formats, and load it into target systems.

Deep understanding of data quality and cleansing techniques to ensure the accuracy and consistency of data across the organization.

Data Governance and Quality:

Establish and enforce a comprehensive data governance framework ensuring data integrity, consistency, and security.

Develop and implement data quality standards and processes for continuous data improvement.

Oversee the implementation of master data management and data lineage initiatives.

Collaboration and Mentorship:

Mentor and guide data teams, including architects, engineers, and analysts, on data architecture principles and best practices.

Foster a collaborative environment where data insights are readily shared and acted upon across the organization.

Build strong relationships with business stakeholders to understand and translate their data needs into actionable solutions.

Qualifications:

Education: master’s degree in computer science, Information Systems, or related field; Ph.D. preferred.

Experience: 25+ years of experience in data architecture and design, with 10+ years in a leadership role.

Technical Skills:

Deep understanding of TOGAF, AWS, MDM, EDW, Hadoop ecosystem (MapReduce, Hive, HBase, Pig, Flume, Scoop), cloud data platforms (Azure Synapse, Google Big Query), modern data pipelines, streaming analytics, data governance frameworks.

Proficiency in programming languages (Java, Python, SQL), scripting languages (Bash, Python), data modelling tools (ER diagramming software), and BI tools.

Extensive expertise in ETL tools (Informatica PowerCenter, IBM DataStage, Microsoft SSIS, Apache Airflow)

Familiarity with emerging data technologies (AI/ML, blockchain), data security and compliance frameworks.

Soft Skills:

Outstanding communication, collaboration, and leadership skills.

Strategic thinking and problem-solving abilities with a focus on delivering impactful solutions.

Strong analytical and critical thinking skills.

Ability to influence and inspire teams to achieve goals.

POSITION SUMMARY

Essential Skills & Key Responsibilities

• Expertise in P2P domain which includes Procurement and Account Payables and Fusion
• P2P functional implementation experience including Interfaces & RICE objects with other legacy applications.
• Leading the business analysis capability in the procurement space, building excellent business connect, influencing and negotiating between tech and business.
• Capture & clarification of business requirements through a range of analysis techniques for the Business (data flow diagrams, case tool analysis, gap analysis and work & process flow diagrams)
• Function as a techno-functional resource and assist in designing solutions for business
• Understand the business data in depth, analyse key performance indicators and use the same to analyse the requirements further
• Obtaining agreement on business analysis deliverables and ensuring that they meet all the requirements of the business
• Proactively working with business to identify, define, and clarify the scope / issues in terms of complex business/systems requirements.
• Identify options for potential solutions and assessing them for both technical and business suitability/feasibility
• Working with business to capture & clarify business requirements & support business & technology teams in data analysis, in UAT phase etc.
• Acting as a proxy customer with the development teams, facilitating open communication between the customer & development team
• Driving user acceptance criteria with the customer
• Aware of the AGILE terminologies and should have knowledge of AGILE tools like JIRA, Confluence etc.
• Basic knowledge of PL/SQL for data querying & analysis will be an added advantage.
• Exposure to MS Office products like Visio and Excel