Snowflake Developer

About Us : Signal Expert Global LLP is a Multi-National Company - involved in the business of providing Technical Analysis and Research services in the Forex & Comex Global Market Since 2016. We provide learning and trading assistance about Forex and Comex segments. Also, Educate in Technical Analysis,identification of market Lots, pricing, possible entry points, barriers to entry, and the prevailing trendsofthe Forex and Comex market. Signal Expert Global LLP is a Member of the International Trade Council and Follows Foreign Inward Remittance Certificate (FIRC) Norms as per Foreign Exchange Management Act (FEMA) Guidelines.

Job Profile – Digital Marketing Executive (International Market - Paid Advertising )

Location – Indore, Work from Office Only

Package – 25000 to 35000 ( depending on the interview)

Roles and Responsibilities :

• Develop and execute paid marketing campaigns across various digital advertising platforms, such as Google Ads, Facebook Ads,Instagram etc.
• Conduct thorough keyword research and competitor analysis to identify opportunities for campaign optimization and improved ROI.
• Create compelling ad copy and engaging visual content to attract and convert target audience.
• Monitor campaign performance, analyze data, and provide regular reports on key metrics, such as click-through rates, conversion rates, and cost per acquisition.
• Collaborate with the marketing team to align paid marketing strategies with overall marketing objectives and brand messaging.
• Stay up-to-date with industry trends and best practices in paid marketing to ensure the company remains at the forefront of digital advertising innovation.
• Stay informed about regulatory requirements and ensures compliance with advertising guidelines and policies.
• Manage budgets and report on key performance indicators (KPIs).

Requirements :

• Minimum Graduate or Post Graduate.
• English Communication & Marketing Skills required.
• Proven working experience of minimum 1 year in Digital Marketing.
• Certifications in Google Ads, Google Analysis or others equivalent to them.
• Proven work experience as a Paid Marketing Expert or similar role, preferably in the Forex or Comex/ Finance industry.
• Ability to work independently and collaboratively in a fast-paced environment.

Job description:

Job Title : Client Support Executive .

A Client Care Executive serves as the primary point of contact for clients, managing inquiries, resolving concerns, and ensuring a smooth and satisfactory experience with the company’s services. This role is essential in building strong client relationships, maintaining ongoing communication, and supporting overall client satisfaction and retention.

Key Responsibilities

• Customer Support:
• Handle incoming calls, emails, or chats from customers.
• Resolve queries and provide accurate information about products, services, and company policies.
• Escalate unresolved issues to the appropriate departments.
• Problem-Solving:
• Investigate customer complaints and identify solutions.
• Process returns, refunds, or exchanges as per company guidelines.
• Documentation:
• Maintain detailed records of customer interactions, including queries, complaints, and resolutions.
• Update customer accounts and ensure data accuracy.
• Customer Engagement:
• Build rapport and establish trust with customers.
• Provide personalized support to ensure customer satisfaction.
• Provide information about services and actionable along with deadlines.
• Help Client know the progress on the jobs assigned.
• Feedback Collection:
• Gather and document customer feedback for product or service improvements.
• Share insights with management for process enhancement.
• Sales Support (Optional):
• Upsell or cross-sell products and services, if applicable.
• Assist with placing orders and tracking deliveries.
• Client onboarding process
• Payment follow up with the clients.

Required Skills and Qualifications

• Educational Requirements: :Graduation mandatory.

Key Skills:

• Excellent verbal and written communication.
• Active listening and empathy.
• Problem-solving and conflict-resolution skills.
• Multitasking and time management.
• Familiarity with CRM software and MS Office Suite.

Experience:

• Preferred: 1-2 years in a similar customer-facing role.

Language Proficiency:

• Fluency in the local language and English is often required.

Job Types: Full-time, Permanent

Work Location: In person

Experience: 2 years - 4 years
providing 100% remote 

We love solving hard problems together because the hardest challenges are often the most rewarding. You will have an opportunity to create products that will disrupt the industry. Providing customer delight is not just a phrase for us - It’s our mantra, Voice will always be heard - we encourage different points of view. 

Do you aspire to be a tech ninja?

Do you have a passion for building products in India and changing the worldview that we are just about services?

We want people who go deep and understand the fundamentals

RESPONSIBILITIES:

• Development and maintenance of automatic regression tests suites used in the product delivery process
• Development and maintenance of testing frameworks supporting the automatic regression testing
• Management and tracking of automatic regression test suite execution
• You will own some or all of a product/feature. You will also mentor others, read and review code, maintain code, deploy code, and tune the performance of systems.

SKILLS AND ABILITIES:

• We’re looking for 2 - 4 years of experience. However, the number is irrelevant if you have the necessary skills.
• Strong proficiency in Java, J2EE, JDBC, Spring MVC & Boot, Hibernate, PL/SQL, HTML, CSS, JavaScript and JQuery, Ajax
• Good exposure to RESTful API concept and JSON
• Experience with cloud-based technologies such as AWS.
• Proficient understanding of development tools such as SVN, GIT
• Good communication skills with proficiency in English (Oral and Writing) / banking knowledge. 

Plus Points:

• Product experience
• Startup experience
• Technologies that are Self-taught
• Contributed to stock exchange etc
• Open source contributions
• Any of your work in public that we can see

• Create a Digital Marketing Strategy
• · Manage the company website by updating, writing, and editing product and market content, while maintaining a consistent and appealing appearance throughout the web pages and documents
• · Improve SEO organically and through selective Strategic Google AdWords campaigns; managed internally or with outside consultant
• · Manage company global online presence on all vendor sites, industry directories, Google Business listings, and establish systematic LinkedIn posting plan with Sales & Service Manager input
• · Mine and analyze data from the ERP system to identify and create targeted Prospect Lists to be furnished to the company’s Inside and Outside salespeople
• · Ability to research business opportunities and present ideas and findings to company management

*

• Qualifications and skills
• · Bachelor’s Degree in Business with major in Marketing with relevant coursework in Website design/management and analytics
• · Creative thinking (visual & messaging); digital design skills are a significant plus
• · Experience with analytical and reporting tools, including Tableau, Google Analytics, and Data Studio.
• · Deep knowledge of digital marketing across social, display, and programmatic platforms.
• · Strong analytical and strategic thinking skills.

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology