Algorithms Engineer

Assistant Manager – Marketing

Remote Opportunity

Qualifications & Experience

Education:

• Bachelor's degree in Marketing, Mass Communication, Design, or Business

• Certification in Digital Marketing (Google, Meta, HubSpot, or similar) preferred

Experience:

• 4–7 years of experience in B2B marketing, preferably in certification, training, SaaS, consulting, or services

industry

• Experience leading multi-channel campaigns and content creation

• Prior exposure to compliance, ISO standards, ESG, or cyber/information security is an added advantage

We’re looking for a Senior PPC Specialist with at least 5 years of experience managing paid campaigns across Google, Meta, and other digital platforms. You’ll be responsible for building, optimising, and scaling paid media campaigns that deliver measurable results for our clients.

What You’ll Do:

• Plan, create, and manage PPC campaigns on Google Ads, Facebook, and Instagram.

• Handle ad budgets of $10,000+ per month across search, display, and video campaigns.

• Develop strategies to improve ROI, conversion rates, and overall campaign efficiency.

• Create and test compelling ad copy, visuals, and targeting to maximise results.

• Build retargeting and eCommerce campaigns that drive real conversions.

• Analyse data in GA4 and prepare reports using Looker Studio.

• Regularly A/B test landing pages, audiences, and creative to find what works best.

• Collaborate with cross-functional teams to align ad performance with business goals.

• Prepare campaign proposals and pricing strategies for new clients.

What You Bring:

• 5+ years of hands-on experience in PPC campaign management.

• Strong understanding of Google Ads, Meta Ads, and other paid media platforms.

• Experience managing campaigns for international clients (US market experience is a plus).

• Solid grasp of data analysis and ability to turn insights into actions.

• Excellent communication skills — written and verbal.

• A proactive mindset that you enjoy testing, learning, and improving every day.

• Bonus: Copywriting skills and an eye for creativity that converts.

Why E2M:

• A collaborative, no-drama work culture that values initiative.

• Flexible and remote-friendly work environment.

• Opportunities to grow, experiment, and make an impact

Job Title: Tableau BI Developer

Years of Experience: 4-8Yrs

12$ per hour fte engagement

8 hrs. working

Required Skills & Experience:

✅ 4–8 years of experience in BI development and data engineering

✅ Expertise in BigQuery and/or Snowflake for large-scale data processing

✅ Strong SQL skills with experience writing complex analytical queries

✅ Experience in creating dashboards in tools like Power BI, Looker, or similar

✅ Hands-on experience with ETL/ELT tools and data pipeline orchestration

✅ Familiarity with cloud platforms (GCP, AWS, or Azure)

✅ Strong understanding of data modeling, data warehousing, and analytics best practices

✅ Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders

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. 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.

We are a leading Forex & Comex technical signal provider. With our full-fledged research operations, Signal Expert Global has proven itself as a company that produces and delivers highly accurate signals and recommendations.

Job Profile - Product & Process Trainer / Full Time / Permanent / Work From Office

Package - 3.00 Lacs to 4.8 Lacs per annum (In Hand)

Roles and Responsibilities :

• Prepare Training Module to conduct Product & Process Training, Soft SkillsTraining, Communication Skills Training, Sales Training, SOP Training ,Induction Etc.
• Monitor and coach agents on grammar, pronunciation, syllable stress and other aspects of the English language,culture, etc.
• Provide consistent coaching and feedback to enhance employee performance.
• Develop action plans for the bottom quartile and ensure they move up the learning curve. Ensure advisors are skilled & knowledgeable to handle customer interactions.
• Coach advisors on improvement in products & processes, Create learning solutions and customize training delivery.
• Provide Financial Market Training - Forex & Comex. Conduct OJT & Refresher Training. Organize JKQ & Complete Certification Process.
• Conduct Session on Compliance & Customer Satisfaction.
• You shall execute & perform all such duties that may be assigned to you from time to time and we reserve the rights to change these at our discretion.

Desired Candidate Profile :

• Excellent command on both English and Hindi Language(verbal and written)
• Graduate or Post Graduate, certifications are a plus
• Confident,Driven, Enthusiastic, and Innovative.
• Experience of training sales professionals preferably in financial industry
• Knowledge of Global Market. (Forex & Comex)

Role: Lead Data Engineer Core

Responsibilities: Lead end-to-end design, development, and delivery of complex cloud-based data pipelines.

Collaborate with architects and stakeholders to translate business requirements into technical data solutions.

Ensure scalability, reliability, and performance of data systems across environments. Provide mentorship and technical leadership to data engineering teams. Define and enforce best practices for data modeling, transformation, and governance.

Optimize data ingestion and transformation frameworks for efficiency and cost management. Contribute to data architecture design and review sessions across projects.

Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

8+ years of experience in data engineering with proven leadership in designing cloud native data systems.

Strong expertise in Python, SQL, Apache Spark, and at least one cloud platform (Azure, AWS, or GCP). Experience with Big Data, DataLake, DeltaLake, and Lakehouse architectures Proficient in one or more database technologies (e.g. PostgreSQL, Redshift, Snowflake, and NoSQL databases).

Ability to recommend and implement scalable data pipelines Preferred Qualifications: Cloud certification (AWS, Azure, or GCP). Experience with Databricks, Snowflake, or Terraform. Familiarity with data governance, lineage, and observability tools. Strong collaboration skills and ability to influence data-driven decisions across teams.

Profile: AWS Data Engineer

Mode- Hybrid

Experience- 5+7 years

Locations - Bengaluru, Pune, Chennai, Mumbai, Gurugram

Roles and Responsibilities

• Design and maintain ETL pipelines using AWS Glue and Python/PySpark
• Optimize SQL queries for Redshift and Athena
• Develop Lambda functions for serverless data processing
• Configure AWS DMS for database migration and replication
• Implement infrastructure as code with CloudFormation
• Build optimized data models for performance
• Manage RDS databases and AWS service integrations
• Troubleshoot and improve data processing efficiency
• Gather requirements from business stakeholders
• Implement data quality checks and validation
• Document data pipelines and architecture
• Monitor workflows and implement alerting
• Keep current with AWS services and best practices

Required Technical Expertise:

• Python/PySpark for data processing
• AWS Glue for ETL operations
• Redshift and Athena for data querying
• AWS Lambda and serverless architecture
• AWS DMS and RDS management
• CloudFormation for infrastructure
• SQL optimization and performance tuning

Join a workplace where innovation meets comfort. At our software company, we blend meaningful work with a flexible, growth-focused environment. Great people, supportive culture, and everything you need to thrive – all in one place

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

• Create and execute paid media strategy and establish priorities & tactics for achieving MQLs/KPIs
• Research competition, keywords, create ad copies, monitor performance, conversions, A/B Testing
• Build and optimize keywords lists with a continuous test & learn practice to deliver a strong ROAS
• Manage paid search campaigns, paid social campaigns & display campaigns across LoBs
• Understand campaign objectives and optimize ads for conversions and lead generation
• Manage the service and product websites paid search budgets and monitor ROAS closely
• The report paid analytics with actionable insights to identify gaps and adjust ad campaign spends

Position Requirements

• PPC Campaigns Management Google Ads/FB
• Research Keywords & Competition Tracking
• Campaign Strategy & Execution
• Performance Tracking & Optimizing
• Analytics & Reporting

Experience:

•  7-10 years of experience with online marketing, B2B experience is preferred
• Hands-on experience in the execution of PPC - Google Ads/FB/Insta campaigns
• Ability to develop and execute marketing strategies using online channels and tools
• Detailed understanding of Google Analytics, Google Ads, SEM, and Facebook/Insta Ads
• Ability to write ad/landing page copy as per best practices for Google Quality Scores
• Strong analytics, Data Visualization, and Excel skills