Business Development Manager

Job Title : Digital Marketing Specialist (SEO, SMO & Performance Marketing)

Experience : 2+ Years

Location : Noida (Work from Office)

Job Summary :

We are seeking a skilled Digital Marketing Specialist with expertise in SEO (On-page & Off-page), SMO, Performance Marketing (Google Ads & Meta Ads), and hands-on experience with CMS platforms like WordPress, Shopify, or Magento etc.

The role requires a data-driven marketer who can optimize campaigns, boost online visibility, and deliver measurable business growth.

Mandatory Skills :

• SEO (On-page & Off-page), SMO, Performance Marketing (Google Ads & Meta Ads), CMS (WordPress/Shopify/Magento etc.), Google Analytics, Search Console.

Key Responsibilities :

• Execute On-page & Off-page SEO strategies to improve search rankings and website traffic.
• Plan, run, and optimize Performance Marketing campaigns on Google Ads & Meta Ads (Facebook/Instagram Ads).
• Develop and implement SMO strategies to increase engagement and reach across social platforms.
• Manage and update websites on CMS platforms (WordPress, Shopify, Magento, etc.).
• Track, analyze, and report performance metrics for SEO, SMO, and paid campaigns.
• Stay updated with the latest digital marketing trends, tools, and best practices.

Requirements :

• Minimum 2+ years of experience in SEO, SMO, and Performance Marketing.
• Proven expertise in Google Ads, Meta Ads Manager, WordPress, Shopify, Magento.
• Strong analytical skills with knowledge of Google Analytics, Search Console, and SEO tools.
• Good communication skills with ability to optimize content for search & conversions.

5+ years of experience designing, developing, validating, and automating ETL processes 3+ years of experience traditional ETL tools such as Visual Studio, SQL Server Management Studio, SSIS, SSAS and SSRS 2+ years of experience with cloud technologies and platforms, such as: Kubernetes, Spark, Kafka, Azure Data Factory, Snowflake, ML Flow, Databricks, Airflow or similar Must have experience with designing and implementing data access layers Must be an expert with SQL/T-SQL and Python Must have experience in Kafka Define and implement data models with various database technologies like MongoDB, CosmosDB, Neo4j, MariaDB and SQL Serve Ingest and publish data from sources and to destinations via an API Exposure to ETL/ELT with using Kafka or Azure Event Hubs with Spark or Databricks is a plus Exposure to healthcare technologies and integrations for FHIR API, HL7 or other HIE protocols is a plus

Skills Required :

Designing, Developing, ETL, Visual Studio, Python, Spark, Kubernetes, Kafka, Azure Data Factory, SQL Server, Airflow, Databricks, T-SQL, MongoDB, CosmosDB, Snowflake, SSIS, SSAS, SSRS, FHIR API, HL7, HIE Protocols

JOB SKILLS & QUALIFICATIONS

WHAT YOU'LL DO

• Design model serving solutions and develop machine learning-based applications. services, and APIs so as to productionise machine learning models.
• Set and maintain engineering standards while to grow and go far.
• Partner with the Data Scientists (those who actually build, train and evaluate ML models) to provide an end-to-end solution for machine learning-based projects.
• Foster the technological evolution of services and improve their end-to-end quality attributes.
• Be committed to Continuous Integration and Continuous Deployment.

 Preferred Skills

• Familiarity with the engineering aspects of some of popular machine learning practices, libraries, and platforms (e.g. MLflow, Kubeflow, Mleap, Michelangelo, Feast, HopsWorks, MetaFlow, Zipline, Databricks, Spark, MLlib, PyTorch, TensorFlow, and Scikit-learn among others).
• Comfortable dealing with trade-offs project delivery and quality, especially those involving latency, throughput, and http://transactions.proven/">transactions.
• Experience Continuous Integration & Continuous Deployment processes and platforms, software design patterns and APIs.
• A person that enjoys staying on top of all the best practices and tools of modern software engineering, while being a advocate of code quality and continuous improvement.
• Someone interested in large-scale systems and passionate about solving complex problems while being open and comfortable with changes in the tech stack the teams use.

Key aspects of this role:

• Develop, deploy, customize and integrate Microsoft Dynamics CRM
• Customize and create CRM entities
• Provide technical expertise for the Dynamics CRM and Microsoft development technologies and environments
• Participate in all phases of System Development Life Cycle
• Designing of the Product as per the requirement
• Implement data migration and integration using Dynamics CRM tools
• Follow development best practices and document required technical artifacts related to the project
• Supporting in the implementation of the Project through Training & other means

Profile Description:

The job holder will work with developers and the IT staff to oversee the code releases, combining an understanding of both engineering and coding. From creating and implementing systems software to analyzing data to improve existing ones, a DevOps Engineer increases productivity in the workplace.

Key Responsibilities:

• Understanding customer requirements and project KPIs
• Implementing various development, testing, automation tools, and IT infrastructure
• Planning the team structure, activities, and involvement in project management activities.
• Managing stakeholders and external interfaces
• Setting up tools and required infrastructure
• Defining and setting development, test, release, update, and support processes for DevOps operation
• Have the technical skill to review, verify, and validate the software code developed in the project.
• Troubleshooting techniques and fixing the code bugs
• Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
• Encouraging and building automated processes wherever possible
• Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
• Incidence management and root cause analysis
• Coordination and communication within the team and with customers
• Selecting and deploying appropriate CI/CD tools
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
• Mentoring and guiding the team members 
• Monitoring and measuring customer experience and KPIs
• Managing periodic reporting on the progress to the management and the customer

Technical skills required: 

• 5+ years building enterprise systems 
• Worked on one or more large scale applications on Python Django
• Good understanding of distributed systems, scalability, and availability with an understanding of the CAP theorem and its implications for real-world distributed systems
• Understanding of distributed systems like Dynamo, HBase, various messaging and queuing systems and understanding of Time, Clocks, and Ordering of Events, rate control, load distribution
• Good knowledge of one or more relational and NoSQL databases and transactions Shrewd focus on latency and throughput of services
• In-depth understanding of concurrency, synchronization, NIO, memory allocation, and GC
• Experience with IaaS clouds like AWS/Google Cloud, Azure, OpenStack etc. 
• Experience in working with Message Brokers and Application Containers
• Ability to detect fraud and risk mitigation

Responsibilities:

• Code reviews, ensuring that the code follows the best technical practices and design patterns
• Follow best technical practices, incorporate emerging solutions, and employ scalable designs that can be easily adopted
• Architect solutions by mapping customer business problems to end-to-end technology solutions
• Experience in working with Agile Methodology
• Regular monitoring and audits of the cloud infrastructure
• Managing System monitoring tools and developing processes for handling crisis situations
• Managing the development team and the support team. Setting processes that will increase the team’s efficiency
• Handling technical and managerial interviews for expansion of the team

Qualification and experience:

• B.E/B.Tech/M.E./M.Tech/M.S.
• 5+ years of experience  working as a full stack engineer with a track record of delivering scalable products
• FinTech experience with Prepaid payment instruments and UPI experience is a big plus
• Machine learning experience would be preferable