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As the Marketing Automation Manager, you will be responsible for executing campaigns and initiatives across multiple marketing channels, with a focus on email marketing, marketing automation, and lead generation. You will work closely with the Brand Strategy team and other members of the marketing team to develop and execute campaigns that support our business objectives and drive revenue growth.

Roles and Responsibilities:

• Develop and implement marketing automation strategies aligned with the business objectives and long-term customer acquisition and retention goals.
• Collaborate with the marketing team to plan and execute marketing campaigns that leverage marketing automation capabilities.
• Drive lead generation efforts by implementing effective strategies and tactics within marketing automation platforms. Create and optimize lead capture forms, landing pages, and lead scoring models to enhance lead quality and conversion rates.
• Use analytical tools and data sources to track, analyze, and report on campaign performance, including metrics such as open rates, click-through rates, conversion rates, and overall campaign effectiveness.
• Work closely with cross-functional teams, including sales, content, and design, to align marketing automation initiatives with overall marketing strategies.
• Maintain knowledge of GDPR, PECR, and other relevant privacy regulations to ensure compliance with marketing automation practices.
• Stay informed about marketing automation trends, tools, and best practices within the B2B technology industry. Conduct research and benchmarking to identify opportunities for innovation and optimization in marketing automation strategies and tactics.

Requirements:

• Prior experience in marketing automation or digital marketing for a high-growth B2B technology business.
• Hands-on experience in setting up automated campaigns using platforms like Hubspot, Salesforce, and similar marketing automation tools.
• Expertise in implementing web tracking technologies such as Google Analytics, Mixpanel, Snowflake, etc.
• Strategic mindset to help the business achieve long-term customer acquisition and retention goals.
• Proven ability to translate complex data into actionable insights for stakeholders.
• Ability to pivot quickly and make fast decisions based on changing needs in a high-growth environment.
• Comfortable working under tight deadlines and strong attention to detail.
• Excellent interpersonal, communication, and project management skills with the ability to prioritize tasks across multiple projects.
• Knowledge of GDPR, PECR, and other relevant privacy regulations.

1. Job Overview: The position requires a dynamic Sales and Marketing Engineer with experience in BUILDING AUTOMATION SOLUTIONS Project Sales. The role involves driving sales, building client relationships, and promoting BUILDING AUTOMATION SOLUTIONS to achieve business objectives.

2. Responsibilities:

Sales and Marketing Strategy:

 Develop and implement comprehensive sales and marketing strategies for BUILDING AUTOMATION SOLUTIONS.

 Identify and pursue new business opportunities in target markets and industry segments.

 Collaborate with the marketing team to create compelling promotional materials.

Client Engagement:

 Build and maintain strong relationships with existing clients while actively seeking new partnerships.

 Conduct client needs assessments and propose tailored BUILDING AUTOMATION SOLUTIONS

 Conduct product demonstrations and presentations to showcase the benefits of offerings.

Technical Expertise:

 Possess in-depth technical knowledge of BUILDING AUTOMATION SOLUTIONS & ELV systems.

 Provide technical support to clients during pre-sales and post-sales phases.

 Stay abreast of industry trends to position solutions competitively.

Market Analysis:

 Conduct market research to identify industry trends, competitor activities, and market demands.

 Analyze customer feedback and market dynamics to enhance product offerings.

3. Qualifications:

 Bachelor& degree in Instrumentational / Electronics Engineering, Automation, or a related field.

 Proven experience in sales and marketing of BUILDING AUTOMATION SOLUTIONS.

 Strong technical understanding of HVAC and BUILDING AUTOMATION SOLUTIONS.

 Excellent communication and presentation skills.

 Results-oriented with a track record of meeting or exceeding sales targets.

4. Key Skills:

 Automation Sales BUILDING AUTOMATION SOLUTIONS/ELV /Project Sales

Additional Skills:

 Automation Products/Project Knowledge.

5. Benefits

 Competitive salary and commission structure.

 Health insurance and other benefits.

 Opportunities for professional development.

Experiences: 8 – 10 years

            Responsible for handling IT requirements from US based clients.

            Responsible for full-cycle recruiting: interview, offer, negotiation and closed candidates for assigned requisitions.

            Sourcing from Job Portals (Monster, Dice, Career builder, Yahoo Hot Jobs), Making job postings on the Job Portal.

            Well versed about US Terms like W2, C2C, 1099, US Visas, etc.

            Responsible to work on Contract, Permanent & C2H (Contract to Hire) positions.

            Responsible for Coordinating fulfillment of other formalities such as background check, drug test etc. leading to joining post placement.

            Responsible for achieving a good conversion ratio of submittals into interview and placement.

            Responsible for Strategy Development process which includes understanding client requirements & mapping the relevant targets.

            Maintain close contact with candidates/Vendors/ recruiters/offshore team.

            Updated about technologies of the Client requirements and knowledge of current IT trends.

  Overall 4+ years of experience

·  2 year development experience in NodeJs(v4 and above)

·  Knowledge in Unit testing frameworks like Mocha

·  Experience in working with any NodeJs web framework(Express or Hapi)

·  Development experience using any persistent store (NoSql or Relational)

Formal Deliverables

·  Design and development of new and enhance existing applications using Node.JS

·  Collaborate with internal and external team members to ensure projects get delivered as planned

·  Develop Backend services using HapiJs

·  Develop background workers based on cron or rabbitmq messages

·  Support existing and new features via bug fixes, prod support or monitoring scripts

·  Unit testing for all the developed modules

• Implement best practices for the engineering team across code hygiene, overall architecture design, testing, and deployment activities
• Drive technical decisions for building data pipelines, data lakes, and analyst access.
• Act as a leader within the engineering team, providing support and mentorship for teammates across functions
• Bachelor’s Degree in Computer Science or equivalent job experience
• Experienced developer in large data environments
• Experience using Git productively in a team environment
• Experience with Docker
• Experience with Amazon Web Services
• Ability to sit with business or technical SMEs to listen, learn and propose technical solutions to business problems

·       Experience using and adapting to new technologies

·       Take and understand business requirements and goals

·       Work collaboratively with project managers and stakeholders to make sure that all aspects of the project are delivered as planned

·       Strong SQL skills with MySQL or PostgreSQL

• Experience with non-relational databases and their role in web architectures desired

 Knowledge and Experience:

• Good experience with Elixir and functional programming a plus

• Several years of python experience
• Excellent analytical and problem-solving skills
• Excellent organizational skills

Proven verbal and written cross-department and customer communication skills

Greetings from Zealous Services !!!

Looking for your career in 3D Modelling and Animation Field???

We have Immediate requirements for 3D Trainees.

Experience: Freshers

Designation: 3D Trainee

Training Period: 2 months (with monthly Stipend)

Flexible to work in Rotational Shifts (Fixed Day shifts for Female Candidates).

Chennai Candidates preferred.

Educational Qualifications: Any Graduates can apply (2019 - 2022 passed outs)

Job Description:

Candidate must have 2 to 5-years of experience in various phase of development of a python-based application or API development.

Requirements:

Must Have:  Strong expertise in PYTHON and its built-in data structures, developing API using flask or fastapi, data wrangling using standard python frameworks like pandas, NumPy etc., integration of various applications (third party or inhouse) with python.

Good to Have: Deployment using Nginx, GUnicorn, IIS, docker and Kubernetes etc. Good understanding of optimization solutions like differential evolution. Hands on experience with python packages like Scipy.  Tkinter to make python-based applications.

Roles and Responsibilities:

• Understanding/gathering the requirements from stakeholder, formulating the problem, and leveraging AI/ML to solve the business problems.
• Integration of third party or in house application with python solution.
• Working on Deployment and optimization of various engineering problems using Numerical/Constraint optimization frameworks such as Differential Evolution and deploy a web-based API using Flask and Nginx/IIS.
• Unit testing of various python modules developed and testing of the API.

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification

• java 8+
• springcore 
• springboot
• MongoDB
• Angular
• Agile