Automation testing with C#

Job Title : SEO & Digital Marketing Specialist - (Web3 Product/Organization) (SMO, SEO, Meta Ads / Promotions Ads / PPC)

Experience : 2+ Years

Location : Noida Sector 18

Working Days : 6 Days (Monday to Friday WFO + Saturday WFH)

Job Summary :

We are looking for a results-driven SEO & Digital Marketing Specialist with hands-on experience in Web3 products/organizations. The ideal candidate will be responsible for enhancing online visibility, executing SEO/SMO strategies, managing paid campaigns, and driving growth through effective digital marketing initiatives.

Key Responsibilities :

• Develop and implement SEO strategies (on-page, off-page, technical) to increase organic traffic.
• Plan and execute SMO strategies to strengthen brand presence across social platforms.
• Manage and optimize paid ad campaigns (Meta Ads, Promotion Ads, PPC, Google Ads) for maximum ROI.
• Conduct keyword research, competitor analysis, and performance tracking for continuous improvement.
• Work with CMS platforms (excluding WordPress) to publish, update, and optimize content.
• Collaborate with Web3 product/organization teams to create tailored marketing campaigns.
• Stay updated with Web3 industry trends, SEO algorithms, and ad platform updates.

Mandatory Skills :

• SEO (on-page, off-page, technical)
• SMO (social media optimization & engagement)
• Paid Ads (Meta Ads, Promotion Ads, PPC, Google Ads)
• CMS management (any CMS except WordPress)
• Proven experience in Web3 products/organizations marketing

Prepare and maintain daily, weekly, and monthly MIS reports

Data analysis, tracking performance metrics & dashboards

Strong working knowledge of MS Excel (VLOOKUP, Pivot, formulas)

Coordinate with operations and management for data accuracy

Ensure timely and accurate reporting

Role Overview:

The Sales Manager will be responsible for driving business growth through client acquisition, relationship management, and revenue generation within the BFSI segment. The role demands a mix of consultative selling, financial understanding, and market awareness.

Key Responsibilities:

• Identify, prospect, and onboard new clients within the BFSI domain.
• Manage existing client relationships to drive retention and cross-selling opportunities.
• Develop and execute sales strategies to achieve monthly and quarterly targets.
• Understand client requirements and provide tailored financial product solutions.
• Coordinate with internal teams for product presentations, demos, and deal closures.
• Track market trends, competitor movements, and emerging opportunities in the financial space.
• Maintain accurate records of leads, opportunities, and activities in CRM systems.

Required Skills & Qualifications:

• Bachelor’s degree in Business, Finance, or Marketing (MBA preferred).
• 2–4 years of experience in Sales / Business Development within BFSI, Fintech, or Financial Products domain.
• Strong understanding of financial products, investment solutions, or trading platforms.
• Excellent communication, negotiation, and presentation skills.
• Proven track record of meeting or exceeding sales targets.
• Strong networking and relationship management capabilities.
• Proficiency in MS Office and CRM tools.

Strong Junior GenAI / AI Backend Engineer Profiles

Mandatory (Experience 1) – Must have 1.5+ years of full time expeirence in software development using LLMs (OpenAI / Gemini / similar) in projects (internship / full-time / strong personal projects)

Mandatory (Experience 2) – Must have strong coding skills in Python and hands-on backend development experience (FastAPI / Django preferred)

Mandatory (Experience 3) – Must have built or contributed to AI/LLM-based applications, such as chatbots, copilots, document processing tools, etc.

Mandatory (Experience 4) – Must have basic understanding of RAG concepts (embeddings, vector DBs, retrieval)

Mandatory (Experience 5) – Must have experience building APIs or backend services and integrating with external systems

Mandatory (Experience 6) – Must have AI/LLM projects clearly mentioned in CV (with what was built, not just tools used)

Mandatory (Experience 7) – Must have worked with modern development tools (Git, APIs, basic cloud exposure)

Mandatory (Tech Stack) – Strong in Python + basic AI/LLM ecosystem

Mandatory (Company) – Product companies / Funded startups (Series A / B / high-growth environments)

Mandatory (Education) - Tier-1 institutes (IITs, BITS, IIITs), Can be skipped if from Top notch product companies

Mandatory (Exclusion) - Avoid candidates with Only Prompt Engineers, from pure Data Science / ML theory background without backend coding, Frontend-heavy engineers.

Senior Data Engineer

Responsibilities:

●      Clean, prepare and optimize data at scale for ingestion and consumption by machine learning models

●      Drive the implementation of new data management projects and re-structure of the current data architecture

●      Implement complex automated workflows and routines using workflow scheduling tools 

●      Build continuous integration, test-driven development and production deployment frameworks

●      Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards 

●      Anticipate, identify and solve issues concerning data management to improve data quality

●      Design and build reusable components, frameworks and libraries at scale to support machine learning products 

●      Design and implement product features in collaboration with business and Technology stakeholders 

●      Analyze and profile data for the purpose of designing scalable solutions 

●      Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues

●      Mentor and develop other data engineers in adopting best practices 

●      Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders

Qualifications:

●      8+ years of experience developing scalable Big Data applications or solutions on distributed platforms

●      Experience in Google Cloud Platform (GCP) and good to have other cloud platform tools

●      Experience working with Data warehousing tools, including DynamoDB, SQL, and Snowflake

●      Experience architecting data products in Streaming, Serverless and Microservices Architecture and platform.

●      Experience with Spark (Scala/Python/Java) and Kafka

●      Work experience with using Databricks (Data Engineering and Delta Lake components) 

●      Experience working with Big Data platforms, including Dataproc, Data Bricks etc

●      Experience working with distributed technology tools including Spark, Presto, Databricks, Airflow

●      Working knowledge of Data warehousing, Data modeling

●      Experience working in Agile and Scrum development process

●      Bachelor's degree in Computer Science, Information Systems, Business, or other relevant subject area

Role:

Senior Data Engineer

Total No. of Years:

8+ years of relevant experience 

To be onboarded by:

Immediate

Notice Period:

Skills

Mandatory / Desirable

Min years (Project Exp)

Max years (Project Exp)

GCP Exposure 

Mandatory Min 3 to 7

BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep .Spark and PySpark

Mandatory Min 5 to 9

Relational SQL

Mandatory Min 4 to 8

Shell scripting language 

Mandatory Min 4 to 8

Python /scala language 

Mandatory Min 4 to 8

Airflow/Kubeflow workflow scheduling tool 

Mandatory Min 3 to 7

Kubernetes

Desirable 1 to 6

Scala

Mandatory Min 2 to 6

Databricks

Desirable Min 1 to 6

Google Cloud Functions

Mandatory Min 2 to 6

GitHub source control tool 

Mandatory Min 4 to 8

Machine Learning

Desirable 1 to 6

Deep Learning

Desirable Min 1to 6

Data structures and algorithms

Mandatory Min 4 to 8

IF INTERESTED THEN CALL/WHATSAPP ME ON ( SEVEN EIGHT FIVE NINE EIGHT EIGHTZERO TWO FOUR TWO )