About the Company: Among top five global media agencies. we provide access and scale everywhere our clients do business. Intelligent and imaginative, we create, integrate and scale technology-enabled services with premium partners
Job Location :Mumbai
Roles and Responsibilities
- Devising solutions for the client by identifying and configuring the technology, data and processes that improve media targeting, and deepen analytical learning. This can encompass comprehensive audits of a client’s current setup, as well as leading data and tech partner evaluations, and defining measurement frameworks to capture the most valuable signals
- Aid in data partner discovery, vetting, onboarding and cataloguing, providing the relevant teams with a view on the latest solutions in the market, as well as current trends and issues relating to data management
- Support the implementation of client audience data strategy programs, specifically how client data is captured, managed, enhanced (through partnerships), deployed and measured for effectiveness, working closely with adjacent disciplines in Planning, AdOps, Activation and Analytics to ensure audience management best practices flow down and through all client media campaigns
- Maintain strong, effective relationships with key partners and suppliers within the ad/mar-tech data space
- Build strong relationships with key client stakeholders, including communicating with them on subjects outside your remit, and build a reputation for excellence in communication
Desired background experience:
Required
- Demonstrable knowledge of the ad tech and data landscape, including hands-on experience managing audience data, for your own company or your clients. This includes, a working knowledge of the leading data management platforms (DMPs), customer data platforms (CDPs), knowledge of data onboarding and cross-device matching approaches and an understanding of the tools and technologies that can activate this data (e,g, DSPs, social platforms)
- Familiarity with and experienced in working with cloud-based data solutions (e.g. Google Cloud Platform, Amazon Web services) and tools within (e.g. BigQuery, Ads Data Hub) for data warehousing, insight generation and/or deployment.
- Strong analytical skills and a natural affinity for numbers is key; You must be able to analyze raw data, draw insights and develop actionable recommendations as needed
- Exceptional verbal & written communication skills, able to build and develop strong relationships with, and communicate effectively with people at all levels of seniority; in-agency, client-side, and in the supplier space
- Strong organizational skills, including experience with resource management, to effectively manage smooth flow of work through agency
Regards
Team Merito

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- Design, develop, and maintain backend services and APIs using Python or Golang.
- Write high-quality, testable, and maintainable code with a focus on performance and scalability.
- Implement automated tests and contribute to CI/CD pipelines.
- Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
- Troubleshoot production issues and provide timely resolutions.
- Participate in design and architecture discussions to improve system efficiency.
- Contribute to improving development processes, coding standards, and best practices.
Experience and Expertise:
- 1-2 years of experience in backend development with Python or Golang.
- Solid understanding of RESTful APIs, microservices, and distributed systems.
- Strong knowledge of data structures, algorithms, and OOPS principles.
- Hands-on experience with relational and/or NoSQL databases.
- Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
- Proficiency with Git and version control workflows.
- Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.
Skills:
- Strong analytical and debugging skills with the ability to solve complex problems.
- Good communication and collaboration skills across teams.
- Ability to work independently with minimal supervision while being a strong team player.
- Growth mindset – eagerness to learn new technologies and improve continuously.

- Data Engineer
Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON
Mandatory Requirements
- Experience in AWS Glue
- Experience in Apache Parquet
- Proficient in AWS S3 and data lake
- Knowledge of Snowflake
- Understanding of file-based ingestion best practices.
- Scripting language - Python & pyspark
CORE RESPONSIBILITIES
- Create and manage cloud resources in AWS
- Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies
- Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform
- Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations
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- Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible
- Identify and interpret trends and patterns from complex data sets
- Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.
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- Proficient at developing queries, writing reports and presenting findings
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QUALIFICATIONS
- 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)
- Strong background in math, statistics, computer science, data science or related discipline
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- Proficient with
- Data mining/programming tools (e.g. SAS, SQL, R, Python)
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Familiarity and experience in the following is a plus:
- AWS certification
- Spark Streaming
- Kafka Streaming / Kafka Connect
- ELK Stack
- Cassandra / MongoDB
- CI/CD: Jenkins, GitLab, Jira, Confluence other related tools
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We are looking for a creative and result-driven LinkedIn Marketing Executive to strengthen our brand presence, generate quality B2B leads, and execute impactful LinkedIn marketing campaigns. The ideal candidate should have experience in organic LinkedIn marketing, employee branding, content strategy, and lead generation.
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- Monitor LinkedIn analytics and prepare weekly/monthly performance reports.
- Stay updated with LinkedIn algorithm changes, trends, and best practices.
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Required Skills
- Hands-on experience with LinkedIn Marketing.
- Knowledge of LinkedIn Sales Navigator.
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- Understanding of B2B marketing and lead generation.
- Experience with Canva or Adobe Creative Suite is a plus.
- Familiarity with CRM tools is an advantage.
- Strong communication and analytical skills.
Preferred Qualifications
- Bachelor's degree in Marketing, Business, Communications, or a related field.
- 1–3 years of experience in LinkedIn marketing or B2B digital marketing.
KPIs
- Growth in LinkedIn followers and engagement.
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- Profile and page engagement rate.
- Campaign performance and conversion rate.
- Brand visibility and reach.
Why Join Us?
- Work on innovative SaaS, HRMS, ERP, CRM, and AI-based products.
- Opportunity to build a strong B2B brand.
- Collaborative and growth-oriented work environment.
- Career advancement and learning opportunities.
- Competitive salary with performance-based incentives.
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* Excellent communication and interpersonal skills
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