Product Marketing Manager

Roles & Responsibilities: 

● Design, plan, and execute 3–4 monthly webinars focused on industry trends, customer pain points, and director-level conversations. 

● Work cross-functionally with sales, delivery, and marketing teams to build strong narratives and event themes. 

● Own all logistics, such as the platform (GoToWebinar, Zoom Webinar, or Zoho Webinar), communication with registrations, reminders, speaker dry-runs, technical rehearsals, and live coordination. 

● Develop and manage content assets, including design creatives and presentation decks. 

● Drive engagement using polls, Q&As, offers, and post-event follow-ups via email or LinkedIn. 

● Track performance and share analytics: registration-to-attendance ratio, audience engagement, quality of leads, and contribution to pipeline. 

● Continuously improve based on feedback, benchmarks, and business objectives. 

Must have skills: 

● 3–5 years of experience managing webinars, virtual events, or enterprise-level workshops. A background in B2B or IT services is a plus. 

● Strong coordination, communication, and presentation skills—you'll regularly work with directors, technical experts, and external stakeholders. 

● A business mindset—you can connect the dots between webinar topics, lead generation, and customer interest. 

● Proficient in tools like Zoom/GoToWebinars, (or CRM/marketing automation platforms), and Google Slides/PowerPoint. 

● Comfortable planning, owning timelines, and making real-time decisions during live sessions. Good to have skills: 

● Experience in IT services or SaaS domain. 

● Experience with Quora/Reddit or guest post partnerships. 

● Exposure to content creation or visual storytelling. 

We are looking for an experienced Digital Marketing Executive manager to assist in the planning, execution and optimization of our online marketing efforts. The promotion of products and services through digital channels is a complex procedure with great potential which becomes increasingly useful for companies such as ours. The ideal candidate will have a passion for all things marketing and technology. You will be well-versed in the concepts surrounding digital marketing and how the Internet can become a strong asset to securing growing revenue. You will be tech-savvy and intuitive with great ideas to reinforce our marketing campaign.

Responsibilities

• Plan and monitor the ongoing company presence on social media (Twitter, Facebook etc.)
• Launch optimized online adverts through Google Adwords, Facebook etc. to increase company and brand awareness
• Be actively involved in SEO efforts (keyword, image optimization etc.)
• Prepare online newsletters and promotional emails and organize their distribution through various channels.
• Measure performance of digital marketing efforts using a variety of Web analytics tools (Google Analytics, WebTrends etc.)

Requirements

• Should have a minimum 2 years of relevant exp.
• Proficient with Experience with B2C social media, Google Adwords and email campaigns and SEO/SEM
• Advanced knowledge in keyword research
• Advanced knowledge in on-page and off-page optimization

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

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Job Summary:

As Senior Associate L1 in Data Engineering, you will do technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. Having hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms will be preferable.

Role & Responsibilities:

Job Title: Senior Associate L1 – Data Engineering

Your role is focused on Design, Development and delivery of solutions involving:

• Data Ingestion, Integration and Transformation

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 3.5+ years of IT experience with 1.5+ years in Data related technologies

2.Minimum 1.5 years of experience in Big Data technologies

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

7.Cloud data specialty and other related Big data technology certifications

Job Title: Senior Associate L1 – Data Engineering

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

• Strong communication abilities
• Exceptional communication and the capacity to switch up speaking approach
• The capacity to adjust to challenging circumstances
• The capacity to adjust to challenging circumstances
• Having a firm understanding of the products or services the business provides
• Ability to listen and solve problems
• Ability to cope with rejection while remaining calm
• Outstanding capacity to manage conflicts and address grievances during negotiations

Job Title: Senior Data Engineer

Experience: 8Yrs to 11Yrs

Location: Remote

Notice: Immediate or Max 1Month

Role: Permanent Role

Skill set: Google Cloud Platform, Big Query, Java, Python Programming Language, Airflow, Data flow, Apache Beam.

Experience required:

5 years of experience in software design and development with 4 years of experience in the data engineering field is preferred.

2 years of Hands-on experience in GCP cloud data implementation suites such as Big Query, Pub Sub, Data Flow/Apache Beam, Airflow/Composer, Cloud Storage, etc.

Strong experience and understanding of very large-scale data architecture, solutions, and operationalization of data warehouses, data lakes, and analytics platforms.

Mandatory 1 year of software development skills using Java or Python.

Extensive hands-on experience working with data using SQL and Python.

Must Have: GCP, Big Query, Airflow, Data flow, Python, Java.

GCP knowledge must

Java as programming language(preferred)

Big Query, Pub-Sub, Data Flow/Apache Beam, Airflow/Composer, Cloud Storage,

Python

Communication should be good.

•  4-8 years of relevant experience in designing & developing and architecting systems/software
• for large business environments (Java, J2EE).
• • Strong design and coding skills in Enterprise Java, Hibernate, Spring, Spring Boot, REST web
• services, JMS (ActiveMQ), XML, JSON.
• • Must have good experience in Unix/Oracle/SQL.
• • Experience in any communication framework (MQ) is an added advantage.
• • Experience in Agile Development, Scrum, and Iterative approaches
• • Participate in requirement gathering JAD sessions and support documentation

Job Title: Odoo Developer
Job Type: Full Time
Job Location: India- Bangalore/Pune
Reporting To: Manager ERP Solutions/Director Cloud Engineering
Work Hours: 9 hours (Indian Shift)

Main Duties and Responsibilities:

The candidate will be responsible for interacting with internal and external customers, gather requirements, map it to the system design solution if required, discuss it with Functional consultant and deploy/implement it and post implementation support.

Qualifications:

BSc Computer Science, Electronics, MSc/MCA, PGDCA or any equivalent degree

Experience – 1- 3 Years

Skills:

Functional Skills:

• Good understanding of ERP Process and system
• Candidates should have hands-on experience in implementing Odoo Sh preferably, Odoo Online, Enterprise, Odoo Community Edition or experience in implementing any other ERP Software.
• Good Knowledge on the following: Purchase Process (Procure 2 Pay), Sales Process(Order 2 Cash), CRM , Accounting, Manufacturing

Technical Skills:

• Must knowledge on core Python programming concepts, Django framework, JavaScripts
• Good knowledge on SQL, PostgreSQL
• Good knowledge on ORM methods, Xml, Jquery/JS
• Good to have knowledge on Odoo Framework, Installing Odoo, Customize modules, create modules.

Personal Qualities and Behavior traits:

1- Be a good team worker demonstrating loyalty and commitment to the organization and team members.

  
2- Good organizational skills and excellent attention to details Interact with individuals to provide needed information

• Good written and verbal communication skills.
• Aptitude for learning new concepts, technologies and understanding them to utilize in a customer facing/service environment.
• Should be able to work in a team environment and independently.
  
  Performance Goals
  1- Able to handle multiple assignments simultaneously.
  2- Ensures timely response to client and internal peers.