Social Media Project Manager

Strong MERN / Frontend Developer Profile

Mandatory (Experience 1): Must have 2+ years of hands-on experience in software development using MERN stack (MongoDB, Express.js, React.js, Node.js)

Mandatory (Experience 2): Must have 1+ years of frontend development experience with React.js, HTML5, CSS3, JavaScript (ES6+);

Mandatory (Experience 3): Must have experience with Next.js (SSR/SSG, API routes, Server Actions)

Mandatory (Experience 4): Hands-on experience in building RESTful APIs using Node.js and Express.js

Mandatory (Experience 5): Experience writing unit test cases using Mocha, Chai, Jest (or similar), and working in Agile/Scrum environments

Preferred

Preferred (Experience) – Exposure to GCP/AWS/DevOps and cloud-native development

Preferred (Educataion) – B.E /B.Tech /BCA

Designation - Technician – Installation /Dismantling /Height Extension (Passenger Hoist / Mast Climbing Work Platform / RSP)

Experience : 1.5 to 4 years

Location : Navi Mumbai or Mumbai

Salary : 20,000 to 30,000

Role Summary

The Technician –is responsible for safe and timely installation, height extension and dismantling of Passenger Hoists, Mast Climbing Work Platforms (MCWP), and RSP systems at project sites.

Qualification & Skills

• ITI (Mechanical / Electrical / Fitter / Welder / Electrician preferred)

• Diploma holders with relevant experience

• Knowledge of installation, extension, and dismantling activities

• Ability to work at height and follow safety procedures

Key Responsibilities

Installation & Commissioning:

• Install Passenger Hoists, MCWP, and RSP systems as per drawings and OEM guidelines

• Perform pre-commissioning checks and support commissioning

Height Extension Work:

• Carry out mast additions, ties installation, alignment

Dismantling:

• Execute safe dismantling and assist in material packing and dispatch

Key Performance Indicators (KPIs)

• Timely installation, extension, and dismantling

• Zero safety violations

• Quality workmanship with minimal rework

• Proper documentation submission

Career Progression

Technician → Senior Technician → Supervisor

• Handle Life & Non-Life insurance products (Health, Motor, PA)
• Advise clients on suitable insurance solutions
• Manage policy issuance, renewals, and endorsements
• Coordinate with insurance companies and internal teams
• Ensure compliance with insurance regulations and guidelines
• Maintain accurate documentation and records
• Clear Insurance Broking Exam on priority if not already certified

Python Engineer

Job Description:

• Design, develop, and maintain scalable and efficient micro-services using

Python and related frameworks (e.g., Flask, FastAPI,pytest).

• Develop Python scripts and tools to automate deployment, configuration

management, monitoring, and maintenance of our systems.

• Design and implement API automation tests to ensure the reliability and

performance of our software products.

• Troubleshoot and resolve issues related to automation processes,

performance bottlenecks, and system failures.

• Integrate backend automation processes with CI/CD pipelines for seamless

deployment and continuous improvement.

• Optimize and refactor code to improve the scalability and maintainability of

frameworks/services.

• Collaborate with cross-functional teams to understand automation

requirements and design scalable, efficient backend automation solutions.

• Stay up-to-date with the latest industry trends, tools, and technologies

related to python backend frameworks.

Job Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (or

equivalent experience).

• 3+ Years of experience as a Python Developer with a strong focus on

automation.

• Proficiency in Python programming, including experience with libraries such

as Flask, Django, or FastAPI.

• Understanding of software design principles, data structures, and algorithms.

• Experience with database systems, including SQL and NoSQL databases.

• Familiarity with version control systems, preferably Git.

• Knowledge of containerisation technologies such as Docker.

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and

infrastructure as code (IaC) tools.

• problem-solving skills and the ability to debug complex automation issues.

• Excellent teamwork and communication skills.

• Ability to work in an agile development environment and adapt to changing

requirements.

Data engineers:

Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity

Constructing infrastructure for efficient ETL processes from various sources and storage systems.

Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.

Leading the implementation of algorithms and prototypes to transform raw data into useful information.

Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.

Creating innovative data validation methods and data analysis tools.

Ensuring compliance with data governance and security policies.

Interpreting data trends and patterns to establish operational alerts.

Developing analytical tools, utilities, and reporting mechanisms.

Conducting complex data analysis and presenting results effectively.

Preparing data for prescriptive and predictive modeling.

Continuously exploring opportunities to enhance data quality and reliability.

Applying strong programming and problem-solving skills to develop scalable solutions.

Writes unit/integration tests, contributes towards documentation work

Must have ....

6 to 8 years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.

Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases like MySQL, Redshift.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data pipelines.

Good to Have:

Passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with teams scattered geographically.

About client:

Our client is the world’s largest media investment company. In fact, they are responsible for one in every three ads you see globally. In this role, you will be leading the advocacy narrative for a large cluster of brands for the largest FMCG organization in India.

BEST THINGS ABOUT THE JOB

1. Strategic Leadership Opportunities: As the Director of Product Marketing, you will play a pivotal role in shaping and driving the product marketing landscape for a leading consumer goods company. Your strategic insights and hands-on expertise will directly impact product marketing campaigns, contributing to the organization's growth and market dominance.

2. Transformational Role: In just three months, you'll immerse yourself in the product marketing landscape, and within a year, you'll lead process excellence, innovation, and collaboration. This dynamic progression will challenge you and provide a platform to showcase your capabilities in product marketing strategy.

3. Global Exposure and Collaboration: Working closely with global and APAC teams will allow you to collaborate across diverse markets, cultures, and strategies. Your insights will contribute to a cohesive global product marketing strategy, expanding your professional horizons.

4. Innovation and Creativity: The role offers the chance to introduce innovative product marketing strategies, technologies, and creative campaign approaches. Your ideas will drive exceptional results, ensuring that your creativity is recognized and celebrated.

5. Established Industry Leader: The FMCG brand is a market leader in the fast-moving consumer goods sector. Working with them means being a part of a company that values excellence, growth, and innovation. Your efforts will be instrumental in shaping the product marketing landscape for this industry giant.

REQUIRED EXPERIENCE

• You bring a proven track record of at least 8 years in product marketing, with progressively increasing responsibilities.

• Extensive hands-on experience with Google, Meta (Facebook, Instagram), Google Ads Data Hub, Snapchat, Spotify, and Programmatic Advertising platforms like The Trade Desk and DV 360.

• Working knowledge of Customer Data Platforms (CDP), Data Clean Rooms, First Party Data enhancement tools, and techniques.

REQUIRED COMPETENCIES

• Digital Marketing Expertise: Demonstrated expertise in digital marketing strategies, including SEO, SEM, social media, email marketing, content marketing, and more.

• Data Analysis: Proficiency in analysing data to derive actionable insights, track KPIs, and measure the effectiveness of campaigns. Experience with tools like Google Analytics, marketing 

automation platforms, and CRM systems.

• Process Optimization: Proven ability to design, implement, and optimize processes to improve efficiency and effectiveness. Knowledge of methodologies such as Lean, Six Sigma, or Agile is a plus.

• Project Management: Strong project management skills, including the ability to prioritize tasks, manage timelines, and ensure successful campaign execution within deadlines.

• Collaboration: Excellent communication and collaboration skills to work effectively with crossfunctional teams. Ability to lead, inspire, and influence team members to achieve common goals.

• Technical Proficiency: Familiarity with various digital marketing tools, software, and platforms, including advertising platforms, marketing automation software, and CMS systems.

• Effective Communication: Strong written and oral communication skills in English, with the ability to articulate ideas clearly and persuasively. You can communicate complex concepts to 

both technical and non-technical stakeholders.

• Extreme Ownership: You take full ownership of your projects, campaigns, and decisions, embracing accountability and driving results. Your proactive attitude ensures that challenges are 

met head-on.

• Strategic Thinking: You possess a strategic mindset, able to analyze the bigger picture and translate it into actionable digital marketing strategies that align with business goals.

• Innovative Mindset: Your creative thinking and willingness to explore new ideas contribute to the constant evolution of our digital marketing efforts.

• 3+ years experience in practical implementation and deployment of ML based systems preferred.
• BE/B Tech or M Tech (preferred) in CS/Engineering with strong mathematical/statistical background
• Strong mathematical and analytical skills, especially statistical and ML techniques, with familiarity with different supervised and unsupervised learning algorithms
• Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimisation
• Experience in working on modeling graph structures related to spatiotemporal systems
• Programming skills in Python
• Experience in developing and deploying on cloud (AWS or Google or Azure)
• Good verbal and written communication skills
• Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

Roles and

Responsibilities

Seeking AWS Cloud Engineer /Data Warehouse Developer for our Data CoE team to

help us in configure and develop new AWS environments for our Enterprise Data Lake,

migrate the on-premise traditional workloads to cloud. Must have a sound

understanding of BI best practices, relational structures, dimensional data modelling,

structured query language (SQL) skills, data warehouse and reporting techniques.

 Extensive experience in providing AWS Cloud solutions to various business

use cases.

 Creating star schema data models, performing ETLs and validating results with

business representatives

 Supporting implemented BI solutions by: monitoring and tuning queries and

data loads, addressing user questions concerning data integrity, monitoring

performance and communicating functional and technical issues.

Job Description: -

This position is responsible for the successful delivery of business intelligence

information to the entire organization and is experienced in BI development and

implementations, data architecture and data warehousing.

Requisite Qualification

Essential

-

AWS Certified Database Specialty or -

AWS Certified Data Analytics

Preferred

Any other Data Engineer Certification

Requisite Experience

Essential 4 -7 yrs of experience

Preferred 2+ yrs of experience in ETL & data pipelines

Skills Required

Special Skills Required

 AWS: S3, DMS, Redshift, EC2, VPC, Lambda, Delta Lake, CloudWatch etc.

 Bigdata: Databricks, Spark, Glue and Athena

 Expertise in Lake Formation, Python programming, Spark, Shell scripting

 Minimum Bachelor’s degree with 5+ years of experience in designing, building,

and maintaining AWS data components

 3+ years of experience in data component configuration, related roles and

access setup

 Expertise in Python programming

 Knowledge in all aspects of DevOps (source control, continuous integration,

deployments, etc.)

 Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD

 Hands on ETL development experience, preferably using or SSIS

 SQL Server experience required

 Strong analytical skills to solve and model complex business requirements

 Sound understanding of BI Best Practices/Methodologies, relational structures,

dimensional data modelling, structured query language (SQL) skills, data

warehouse and reporting techniques

Preferred Skills

Required

 Experience working in the SCRUM Environment.

 Experience in Administration (Windows/Unix/Network/Database/Hadoop) is a

plus.

 Experience in SQL Server, SSIS, SSAS, SSRS

 Comfortable with creating data models and visualization using Power BI

 Hands on experience in relational and multi-dimensional data modelling,

including multiple source systems from databases and flat files, and the use of

standard data modelling tools

 Ability to collaborate on a team with infrastructure, BI report development and

business analyst resources, and clearly communicate solutions to both

technical and non-technical team members